Electronics Guide

Cascaded Control Loop Structure

Servo drives employ a cascaded control architecture with three nested feedback loops: current (torque), velocity, and position. Each inner loop operates at a faster update rate than its outer loop, enabling the system to respond quickly to disturbances while maintaining overall stability and accuracy.

The current loop forms the innermost and fastest control loop, typically executing at rates of 10 kHz to 40 kHz. This loop regulates the motor current, which directly corresponds to torque in most motor types. Fast current control is essential for achieving high dynamic performance and implementing torque limiting functions.

The velocity loop surrounds the current loop and executes at rates typically between 1 kHz and 8 kHz. This loop compares commanded velocity against feedback from the motor encoder or resolver and adjusts the torque command to maintain the desired speed. Proper velocity loop tuning is critical for smooth motion and disturbance rejection.

The position loop is the outermost control loop, commanding velocity based on the difference between commanded and actual positions. Position loop update rates typically range from 250 Hz to 4 kHz depending on application requirements. The position loop determines the final accuracy and settling time of point-to-point moves.

Power Stage Design

The power stage of a servo drive converts DC bus voltage into the controlled AC currents required to drive the motor. Most modern servo drives use three-phase inverter topologies with insulated-gate bipolar transistors (IGBTs) or, increasingly, wide-bandgap devices like silicon carbide (SiC) or gallium nitride (GaN) for improved efficiency and switching performance.

Pulse-width modulation (PWM) techniques convert the digital current commands into switching patterns that produce the desired motor currents. Space vector modulation has become the standard approach, offering improved DC bus utilization and lower harmonic content compared to sinusoidal PWM methods.

Current sensing circuits measure the actual motor phase currents using Hall-effect sensors, shunt resistors, or current transformers. These measurements feed the current control loop and provide protection against overcurrent conditions. The accuracy and bandwidth of current sensing directly impact control performance.

Regenerative Energy Handling

During deceleration or when external forces drive the motor, servo motors operate as generators, returning energy to the DC bus. Without proper handling, this regenerative energy can cause dangerous overvoltage conditions. Servo drives implement various strategies to manage regenerative energy safely and efficiently.

Brake choppers dissipate regenerative energy as heat in external resistors, providing a simple and reliable solution for applications with moderate regenerative loads. The brake chopper activates automatically when DC bus voltage exceeds a threshold, switching the braking resistor into the circuit to absorb excess energy.

Regenerative power supplies return energy to the AC line, improving overall system efficiency in applications with significant regenerative power. These systems require bidirectional power conversion capability and must comply with utility interconnection requirements to avoid injecting harmonics or causing power quality issues.

Common DC bus architectures allow multiple servo drives to share regenerative energy directly, with drives in motoring mode absorbing energy from drives in generating mode. This approach improves efficiency in multi-axis systems where some axes frequently accelerate while others decelerate.

Position Controller Design

The position controller generates velocity commands based on position error, the difference between commanded and actual positions. While simple proportional control can achieve basic positioning, most servo applications require more sophisticated control strategies to meet performance requirements.

Proportional position control produces velocity commands proportional to position error. The proportional gain, often called position loop gain or Kp, determines the stiffness of the servo system. Higher gains reduce following error during motion but can cause instability if set too high relative to the velocity loop bandwidth.

Feedforward techniques dramatically improve tracking performance by adding velocity and acceleration feedforward terms that predict the required control effort based on the commanded motion profile. Velocity feedforward reduces following error during constant-velocity motion, while acceleration feedforward reduces error during acceleration and deceleration phases.

The relationship between position loop gain and velocity loop bandwidth fundamentally constrains achievable performance. A common rule of thumb limits position loop bandwidth to approximately one-quarter of velocity loop bandwidth. Exceeding this ratio typically causes oscillation or instability.

Following Error and Settling Time

Following error, the instantaneous difference between commanded and actual position during motion, is a key performance metric for servo systems. Following error depends on position loop gain, feedforward accuracy, and the commanded motion profile. Minimizing following error is critical in contouring applications where multiple axes must coordinate precisely.

Settling time measures how quickly the servo system reaches and stays within a specified tolerance band after completing a move. Settling time depends on the natural frequency and damping of the closed-loop system, as well as mechanical characteristics like compliance and friction. Applications requiring high throughput demand short settling times without sacrificing accuracy.

Position capture and position compare functions enable precise synchronization with external events. Position capture latches the actual position when triggered by an external signal, while position compare generates output signals when position crosses specified thresholds. These functions are essential for applications like printing, labeling, and web handling.

Electronic Gearing and Cam Functions

Electronic gearing creates a master-slave relationship between axes, causing the slave axis to track the master position with a programmable ratio. This function replaces mechanical gearboxes in many applications, offering flexibility to change ratios instantly without mechanical modifications.

The gear ratio can be any value, including non-integer ratios that would be impossible with physical gears. Electronic gearing also supports virtual masters, where a software-generated position profile serves as the master reference for synchronized multi-axis motion.

Electronic cam functions extend gearing to implement arbitrary position relationships between axes. Instead of a fixed ratio, a cam profile defines slave position as a function of master position, enabling complex synchronized motion patterns. Electronic cams replace mechanical cams with digital profiles that can be modified without hardware changes.

Cam profile generation involves defining the slave position at various master positions and interpolating between these points. Modern servo drives support various interpolation methods including linear, cubic, and spline interpolation. Some drives allow direct import of cam profiles from CAD systems or calculation from mathematical functions.

Velocity Controller Architecture

The velocity controller compares commanded velocity against measured velocity and generates torque commands to eliminate velocity error. Proportional-integral (PI) control is the standard approach, with the proportional term providing immediate response to errors and the integral term eliminating steady-state error.

Velocity loop bandwidth, the frequency range over which the loop can effectively reject disturbances, largely determines servo system dynamic performance. Higher bandwidth enables faster response to load disturbances and commanded changes but requires sufficient sample rate and careful management of mechanical resonances.

The velocity loop gain (Kv) affects stiffness against load disturbances and overall dynamic response. The integral gain (Ki) determines how quickly steady-state errors are eliminated but can cause overshoot or instability if set too high. Proper balance between proportional and integral gains is essential for optimal performance.

Velocity Feedback Processing

Velocity feedback typically derives from differentiating position feedback from encoders or resolvers. This differentiation amplifies high-frequency noise, requiring careful filtering to achieve clean velocity signals without introducing excessive phase lag that degrades loop stability.

Observer-based velocity estimation uses mathematical models of the motor and load to estimate velocity from current and position measurements. These observers can provide smoother velocity estimates than direct differentiation while adapting to varying load conditions.

Some servo systems employ separate velocity sensors, typically DC tachometers, to provide direct velocity measurement independent of position feedback. While adding cost and complexity, direct velocity measurement can improve performance in demanding applications by eliminating differentiation noise issues.

Resonance Management

Mechanical resonances in the driven load can severely limit achievable velocity loop bandwidth. When the frequency of a mechanical resonance falls within or near the velocity loop bandwidth, the loop can excite oscillation at the resonant frequency, causing vibration, noise, and potential instability.

Notch filters attenuate the loop gain at specific resonant frequencies, preventing the control loop from exciting mechanical resonances. Proper notch filter tuning requires accurate identification of resonant frequencies and appropriate width and depth settings to avoid degrading performance at nearby frequencies.

Low-pass filters in the velocity loop reduce gain at high frequencies where resonances typically occur. While simpler than notch filters, low-pass filters reduce phase margin and limit achievable bandwidth. The cutoff frequency must be chosen carefully to balance resonance suppression against performance requirements.

Vibration suppression techniques extend beyond simple filtering to include input shaping, which modifies command profiles to avoid exciting resonances, and active vibration control, which uses feedback from accelerometers or other sensors to actively cancel mechanical oscillations.

Field-Oriented Control

Field-oriented control (FOC), also called vector control, transforms three-phase AC motor currents into orthogonal direct (d) and quadrature (q) components that can be controlled independently. This transformation enables DC-like control of AC motors, with the q-axis current controlling torque and the d-axis current controlling flux.

The Park transformation converts stationary-frame currents to the rotating reference frame aligned with the rotor flux. This requires accurate knowledge of rotor position, obtained from encoders, resolvers, or sensorless estimation algorithms. The inverse Park transformation converts the control outputs back to stationary-frame voltages for PWM generation.

Proper current controller tuning is essential for achieving the bandwidth required by outer velocity and position loops. PI controllers regulate d-axis and q-axis currents independently, with gains selected based on motor electrical parameters including resistance and inductance. Feedforward of back-EMF terms can improve dynamic response.

Current Sensing and Measurement

Accurate current measurement is fundamental to servo drive performance. Current sensors must provide sufficient bandwidth to capture PWM-frequency current ripple while maintaining accuracy across the full current range. Common sensing technologies include Hall-effect sensors, isolated current transformers, and shunt resistors with isolation amplifiers.

Single-shunt current reconstruction derives three-phase currents from a single measurement in the DC link, reducing cost and component count. This technique requires careful timing coordination with PWM switching and cannot measure current during certain switching states, imposing minimum pulse width requirements.

Three-shunt sensing measures each phase current directly, providing redundancy and enabling fault detection through consistency checking. The additional sensors increase cost but improve performance and reliability in demanding applications.

Current sensor offset calibration is critical for achieving accurate control at low currents. Even small offset errors cause torque ripple and position errors. Modern servo drives implement automatic offset calibration during initialization and may include continuous correction during operation.

Dead-Time Compensation

Dead time, the intentional delay between turning off one switch and turning on the complementary switch in a half-bridge, prevents shoot-through faults but causes voltage distortion and reduced DC bus utilization. Without compensation, dead-time effects cause torque ripple and audible noise, particularly at low speeds.

Dead-time compensation algorithms adjust PWM timing based on current direction to counteract the voltage distortion. Accurate compensation requires precise knowledge of current polarity, which can be challenging near zero crossings where measurement noise is significant relative to current magnitude.

Advanced compensation techniques use current observers or predictive algorithms to estimate current direction during zero crossings. Some drives employ adaptive algorithms that learn optimal compensation values during operation.

Incremental Encoders

Incremental encoders generate pulses proportional to shaft rotation, providing relative position information. The encoder resolution, specified in pulses or counts per revolution, determines the position measurement granularity. Modern incremental encoders provide millions of counts per revolution through interpolation of sinusoidal signals.

Quadrature encoding uses two channels with signals offset by 90 electrical degrees, enabling determination of rotation direction and multiplication of effective resolution by four through edge counting. The index or Z channel provides a once-per-revolution reference pulse for homing and position verification.

Sine-cosine encoders output analog sinusoidal signals that enable high interpolation factors. Interpolation circuits in the servo drive convert these analog signals to high-resolution digital position values. Modern sine-cosine encoders achieve resolutions exceeding 20 bits per revolution through interpolation.

Incremental encoders require homing sequences at power-up to establish absolute position reference. Various homing methods exist, including moving to a limit switch, moving to the index pulse, or referencing against a hard stop. The homing method affects cycle time and must be appropriate for the mechanical system.

Absolute Encoders

Absolute encoders provide unique position values at every shaft angle, maintaining position information through power cycles without requiring homing sequences. This capability is essential in applications where homing is impractical or where immediate position knowledge after power-up is required.

Single-turn absolute encoders provide unique codes within one revolution, typically using optical or magnetic sensing of encoded patterns. Multi-turn absolute encoders extend absolute positioning across multiple revolutions using gear trains, Wiegand wire technology, or battery-backed revolution counting.

Communication interfaces for absolute encoders have evolved from parallel binary outputs to serial protocols like EnDat, BiSS, and SSI that provide high resolution with minimal wiring. These protocols also support transmission of diagnostic information and encoder parameters.

Battery-less multi-turn encoders use energy harvesting techniques like Wiegand wires, which generate electrical pulses from magnetic field changes, to count revolutions without external power. This eliminates battery maintenance concerns in multi-turn absolute positioning applications.

Resolvers

Resolvers are electromagnetic angular position sensors that provide sinusoidal outputs proportional to shaft angle. Their simple, robust construction with no electronics at the sensor makes resolvers highly reliable in harsh environments including high temperatures, shock, vibration, and contamination.

Resolver-to-digital converters process the resolver outputs to extract position and velocity information. Modern converters achieve resolution and accuracy comparable to optical encoders while offering superior environmental immunity. Tracking converters provide continuous position updates, while sampling converters capture position at discrete instants.

Resolvers naturally provide absolute position within one electrical cycle, which corresponds to one mechanical revolution in single-pole resolvers or a fraction of a revolution in multi-pole designs. Multi-turn tracking requires external counting of electrical cycles.

Communication Protocols

Digital encoder interfaces enable high-resolution position data transmission over simple cabling while supporting bidirectional communication for configuration and diagnostics. Standard protocols have emerged to ensure interoperability between encoders and drives from different manufacturers.

EnDat, developed by Heidenhain, provides synchronous serial communication supporting resolutions up to 29 bits and transmission of additional data including encoder parameters and diagnostic information. EnDat 2.2 enables clock speeds up to 16 MHz for high-bandwidth position updates.

BiSS (Bidirectional Serial Synchronous) is an open-source protocol offering similar capabilities to EnDat with standardized specifications freely available. BiSS-C provides continuous position output for demanding applications.

Hiperface DSL enables power and data transmission over a single cable pair, simplifying cabling while providing high-resolution absolute position feedback. The single-cable approach reduces cost, simplifies installation, and improves reliability by eliminating connectors.

Trapezoidal Velocity Profiles

Trapezoidal velocity profiles, featuring constant acceleration, constant velocity, and constant deceleration phases, represent the simplest approach to motion planning. These profiles minimize move time for given acceleration and velocity limits but produce discontinuous acceleration at phase transitions.

The abrupt acceleration changes in trapezoidal profiles excite mechanical resonances and cause jerk-induced vibration. This limits trapezoidal profiles to applications with stiff mechanics or where settling time requirements allow vibration to damp before the position tolerance is checked.

Triangular profiles occur when the move distance is too short to reach the maximum velocity. The motion planner must detect this condition and calculate appropriate acceleration and deceleration phases that meet at the peak velocity without exceeding the commanded distance.

S-Curve Profiles

S-curve profiles add jerk limitation to trapezoidal profiles, smoothing the acceleration transitions to reduce vibration excitation. The resulting velocity profile resembles an "S" shape during acceleration and deceleration phases as acceleration ramps up and down.

Jerk, the rate of change of acceleration, determines the smoothness of S-curve profiles. Lower jerk limits produce smoother motion but increase move time. The optimal jerk limit depends on mechanical characteristics, with compliant systems requiring lower jerk to prevent residual vibration.

S-curve profiles significantly improve settling time in systems with mechanical compliance by reducing energy input at resonant frequencies. The tradeoff is increased move time, particularly for short moves where the jerk-limited phases represent a larger portion of the total move.

Higher-order profiles that limit jerk rate (snap) or even higher derivatives provide even smoother motion for extremely sensitive applications. These profiles are computationally more complex and require longer times to complete moves.

Time-Optimal Trajectories

Time-optimal trajectory planning generates motion profiles that complete moves in minimum time while respecting all system constraints including velocity, acceleration, jerk limits, and possibly motor current and temperature limits. This optimization problem becomes complex for multi-axis coordinated motion.

Constraint mapping techniques determine the limiting constraint at each point along a path and calculate the maximum achievable velocity considering all constraints. The resulting velocity profile represents the theoretical minimum-time solution for the given constraints.

Real-time trajectory modification enables response to changing conditions during motion, including updated targets, detected obstacles, or changing constraint limits. This capability is essential in dynamic environments where predetermined trajectories may become invalid.

Coordinated Motion Control

Multi-axis coordinated motion requires precise synchronization between axes to maintain accurate path trajectories. In contouring applications like machining or dispensing, timing errors between axes appear as path deviations that may affect product quality or cause collisions.

Interpolation algorithms generate coordinated position commands for all axes from higher-level path descriptions. Linear interpolation moves along straight lines between points, while circular interpolation generates arc trajectories. Spline interpolation creates smooth curves through multiple points.

Path velocity planning must consider the kinematic constraints of all axes simultaneously. A path segment might require slowing below the programmed feed rate if any axis would otherwise exceed its velocity or acceleration limit. Look-ahead algorithms examine upcoming path segments to plan smooth velocity transitions.

Electronic Camming and Gearing

Coordinated applications often require slave axes to follow master axis motion with specific relationships. Electronic gearing provides fixed-ratio following, while electronic camming implements arbitrary position-to-position relationships defined by cam profile tables.

Master axes can be physical motors, virtual software references, or external encoder inputs. External master capability enables coordination with upstream or downstream equipment without requiring those machines to be part of the same control system.

Phase advance and retard functions allow dynamic adjustment of the slave position relative to the master, useful for registration and synchronization applications. These adjustments can be triggered by sensor inputs or commanded by the controller based on process measurements.

Cam profile selection and blending enables changing between different cam profiles during operation. Proper blending algorithms ensure smooth transitions between profiles without discontinuities in position, velocity, or acceleration that could excite vibrations or cause following errors.

Real-Time Communication Networks

Multi-axis systems require communication networks that deliver position commands and feedback with deterministic timing and minimal latency. Industrial Ethernet variants have largely replaced legacy fieldbuses for high-performance motion control.

EtherCAT (Ethernet for Control Automation Technology) achieves microsecond-level synchronization by processing frames on-the-fly as they pass through each node. This architecture enables update rates of 1 kHz or higher with sub-microsecond timing jitter, suitable for demanding multi-axis motion applications.

PROFINET IRT (Isochronous Real-Time) provides deterministic communication for motion control applications with cycle times down to 250 microseconds. The protocol reserves bandwidth for real-time traffic while allowing standard Ethernet traffic during non-critical intervals.

SERCOS III (Serial Real-time Communication System) is specifically designed for motion control applications, providing high-speed synchronous communication with precise distributed clock synchronization. SERCOS profiles define standardized data structures for motion control parameters and commands.

Distributed clock synchronization across the communication network enables all drives to execute commands simultaneously with timing accuracy better than 100 nanoseconds. This precision is essential for applications like printing, converting, and packaging where multiple axes must synchronize with process events.

System Identification

Auto-tuning begins with system identification, measuring the dynamic characteristics of the motor and connected load. Various excitation signals including steps, pseudo-random binary sequences, and swept sinusoids can reveal system parameters and frequency response characteristics.

Inertia estimation determines the combined inertia of motor rotor and connected load, a critical parameter for velocity loop tuning. Common methods inject known torque commands and measure resulting acceleration, or analyze deceleration characteristics after disabling drive output.

Frequency response analysis identifies mechanical resonances by measuring the amplitude and phase relationship between torque commands and velocity or position responses across a range of frequencies. This information guides notch filter placement and bandwidth limitations.

Friction identification characterizes static and dynamic friction in the mechanical system. This information enables feedforward compensation that improves low-speed performance and reduces tracking errors during velocity reversals.

Automatic Gain Calculation

Based on identified system parameters, auto-tuning algorithms calculate appropriate gains for current, velocity, and position loops. The algorithms typically target specific bandwidth and damping characteristics appropriate for the identified mechanical system.

Conservative tuning approaches prioritize stability over performance, appropriate for unknown or variable loads. Aggressive tuning optimizes for maximum bandwidth and minimum following error, suitable for well-characterized, consistent mechanical systems.

Adaptive tuning algorithms continuously monitor system behavior during operation and adjust gains to maintain optimal performance as conditions change. This capability is valuable in applications with varying loads or changing mechanical characteristics.

Validation tests verify that tuned parameters achieve desired performance specifications including bandwidth, damping, settling time, and stability margins. Failed validation prompts re-tuning or alerts the user to potential mechanical issues requiring attention.

Vibration Suppression Tuning

Auto-tuning for vibration suppression identifies resonant frequencies and automatically configures notch filters to prevent the control loop from exciting mechanical resonances. This process is essential for achieving high bandwidth in systems with compliant mechanics.

Input shaping parameters can be calculated automatically based on identified resonance characteristics. The resulting shapers modify command profiles to avoid exciting resonances, enabling smoother motion without reducing command bandwidth.

Iterative tuning approaches alternate between bandwidth optimization and resonance suppression, progressively improving performance while maintaining stability. This process may require multiple iterations to converge on optimal parameters.

Safe Torque Off

Safe Torque Off (STO) is a fundamental safety function that ensures the drive cannot produce torque regardless of control system state. STO achieves this by interrupting gate drive signals to the power stage through redundant hardware paths, preventing the motor from generating motion-causing torque.

STO is typically implemented as a dual-channel function with separate inputs and monitoring circuits. Both channels must indicate safe state to enable drive operation. Cross-monitoring between channels detects faults that could compromise safety.

STO replaces traditional contactor-based motor isolation in many applications, providing faster response and higher reliability without the maintenance requirements of electromechanical devices. Safety standards including IEC 61800-5-2 define STO requirements and testing procedures.

Activation of STO causes the motor to coast to a stop, which may not be acceptable in applications requiring controlled stopping during emergencies. Additional safety functions like Safe Stop 1 (SS1) provide controlled deceleration before activating STO.

Safe Operating Functions

Beyond STO, modern servo drives implement numerous safety functions that enable safe operation without completely disabling the drive. These functions monitor and limit drive behavior to prevent hazardous conditions while allowing continued operation within safe boundaries.

Safe Limited Speed (SLS) monitors velocity and triggers safe reactions if speed exceeds configured limits. This function enables safe human access to machine areas at reduced speed without completely stopping operation.

Safe Limited Position (SLP) restricts motion to defined position ranges, preventing axis travel beyond safe limits. Software position limits provide the primary constraint, with SLP providing a safety-rated backup that triggers safe reactions if software limits fail.

Safe Limited Torque (SLT) limits motor torque to configured values, reducing potential for injury from motor forces. This function is valuable during manual operations like hand-guided teaching of robot positions.

Safe Direction (SDI) ensures motion only occurs in a specified direction, useful for applications like conveyors where reverse motion could cause entrapment or other hazards.

Safe Brake Control (SBC) manages holding brakes through safety-rated circuits, ensuring brakes engage when required and preventing release when motion would be hazardous.

Functional Safety Standards

Servo drive safety functions must comply with functional safety standards including IEC 61800-5-2 for adjustable speed drives and IEC 62443 for industrial communication security. These standards define safety integrity levels (SIL) and performance levels (PL) that quantify safety function reliability.

Safety function implementation requires systematic development processes documented in IEC 61508, including hazard analysis, safety requirements specification, design verification, and validation testing. Drive manufacturers must demonstrate compliance through certification by notified bodies.

Safe communication protocols like PROFIsafe and CIP Safety enable transmission of safety-relevant data over standard industrial networks. These protocols provide error detection and timing monitoring that maintain safety integrity despite potential communication faults.

System integrators must perform safety assessments for complete machine installations, verifying that safety functions interact correctly and achieve the required overall safety performance. This assessment considers not just individual component performance but system-level fault combinations and common-cause failures.

Torque Limiting Functions

Torque limiting prevents excessive motor force that could damage mechanical components or create hazardous conditions. Configurable torque limits constrain motor output regardless of position or velocity commands, providing protection against control system errors or unexpected mechanical conditions.

Peak torque limits allow brief excursions above continuous ratings for acceleration and load rejection while protecting against sustained overload. Time-based limits track accumulated thermal stress and reduce allowed torque before motor temperature reaches damaging levels.

Direction-specific torque limits enable different maximum torques for motoring and generating modes, useful when mechanical systems have asymmetric strength in different directions.

Dynamic torque limiting adjusts allowable torque based on operating conditions including speed, temperature, and DC bus voltage. These dynamic limits protect both the motor and power electronics while maximizing available performance under each operating condition.

Motor and Drive Protection

Thermal protection prevents motor and drive damage from overheating. Motor thermal models estimate winding temperature based on current history and ambient conditions, triggering warnings and protective actions before temperature limits are exceeded.

Overcurrent protection activates within microseconds to prevent semiconductor damage during fault conditions. Hardware comparators in the gate driver circuits provide the fastest protection, while software-based overcurrent detection provides additional monitoring with configurable thresholds.

Overvoltage protection prevents DC bus voltage from exceeding component ratings during regenerative events or supply transients. The drive may activate braking circuits, reduce regenerative current, or fault the drive depending on severity and available mitigation methods.

Ground fault detection identifies dangerous leakage currents that could indicate insulation failure or unsafe conditions. The response to ground faults typically includes immediate drive disable to protect personnel and equipment.

CNC Machine Tools

Computer numerical control machine tools use servo drives for spindle control and axis positioning. Feed axes require smooth motion with minimal following error for accurate contouring, while spindle drives require high-speed operation with constant power over wide speed ranges.

Precision requirements in machining drive demanding servo specifications including nanometer-level feedback resolution, sub-microsecond control loop update rates, and advanced vibration suppression. Thermal compensation corrects for dimensional changes caused by heat generated during cutting.

Industrial Robotics

Robot servo systems must control multiple axes simultaneously while managing complex dynamics including varying inertia as robot configuration changes. Advanced control algorithms compensate for gravity, Coriolis, and centrifugal effects to maintain accuracy across the workspace.

Collaborative robots require servo systems with enhanced safety functions and torque sensing capabilities that enable safe human-robot interaction. Force control modes allow compliant behavior during contact with humans or workpieces.

Packaging Machinery

Packaging machines use servo systems for precise product handling, filling, sealing, and labeling operations. Electronic camming synchronizes multiple stations to master conveyor motion, while registration control aligns operations with printed patterns or product features.

High-speed packaging requires rapid acceleration and precise timing synchronization across many axes. The servo system must maintain synchronization while accommodating variations in product size, weight, and timing.

Semiconductor Manufacturing

Wafer handling and processing equipment demands extraordinary precision from servo systems. Stage positioning for lithography requires nanometer-level accuracy with settling times measured in milliseconds. Environmental control maintains stable temperature to prevent thermal distortion.

Cleanroom compatibility requirements restrict materials and cooling methods. Servo motors may require special enclosures or direct-drive linear motor designs that eliminate particle-generating mechanical components.

Common Issues

Position oscillation typically indicates excessive loop gain or insufficient damping. The solution depends on whether oscillation occurs at mechanical resonance frequencies, suggesting the need for notch filtering, or at lower frequencies, indicating gain tuning issues.

Following error during motion may result from insufficient feedforward gain, velocity loop bandwidth limitations, or mechanical issues like excessive friction or compliance. Systematic analysis of error patterns during different motion phases helps identify the root cause.

Position drift can indicate encoder problems, resolver alignment errors, or mechanical issues like slipping couplings. Comparing commanded and actual positions during both motion and stationary periods helps localize the problem source.

Audible noise from motors often results from insufficient PWM frequency, improper current loop tuning, or mechanical resonances excited by cogging torque or current ripple. The noise frequency and relationship to motor speed provides diagnostic clues.

Diagnostic Tools

Oscilloscope traces of current, velocity, and position commands versus feedback reveal loop performance and help identify instability or resonance issues. Modern servo drives include built-in trace functions that capture high-resolution data synchronized across multiple variables.

Frequency response analysis tools measure Bode plots showing gain and phase versus frequency. These measurements quantify bandwidth, stability margins, and resonance characteristics that may not be apparent from time-domain observations.

Drive status and fault logs record operating conditions leading to fault events, essential for diagnosing intermittent problems. Timestamped logs with associated operating parameters enable reconstruction of fault sequences.