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What is the relationship between servo motor and controller?

Date: Oct 11, 2025Views:

  Servo motors and controllers are the core partners for precision motion control in industrial automation. They collaborate through closed-loop feedback, signal interaction, and algorithms to achieve high-precision, highly dynamic position, speed, or torque control. The following is an in-depth analysis of their relationship from four perspectives: functional positioning, technical architecture, collaborative mechanisms, and application scenarios:

  1. Functional Positioning: The controller is the "brain" of the servo motor, while the motor is the "muscle" of execution.

  Controller (Driver/Motion Controller):

  Serving as the "command center" of the servo system, it receives motion commands (such as position, speed, and torque setpoints) from a host computer (such as a PLC, industrial PC, or robot controller), generates drive signals using built-in algorithms (such as PID, adaptive control, and feedforward compensation), and processes feedback data (such as encoder signals) to achieve closed-loop control. Modern controllers often integrate communication interfaces (such as EtherCAT and PROFINET), safety features (such as STO safety shutdown), and diagnostic capabilities.

  Servo Motor:

  Serving as the "actuator terminal," it converts the controller's electrical signals into mechanical motion. Its core features include high-precision encoders (such as incremental/absolute encoders with 20 bits or more), low-inertia design (for improved response speed), strong overload capacity (to accommodate transient load changes), and an efficient heat dissipation structure (to ensure long-term stable operation). Motor types include DC servos (such as brushless DC), AC servos (such as permanent magnet synchronous motors (PMSMs), and linear servos.

  II. Technical Architecture: Complete Implementation of a Closed-Loop Control Chain

  The servo system achieves precise control through a closed-loop chain: "command input → control algorithm → drive output → feedback correction." The specific process is as follows:

  Command input: The host computer (such as a CNC or robot controller) sends target position/speed/torque commands to the servo drive.

  Control algorithm processing: The control chip within the drive (such as a DSP or ARM) executes the algorithm (such as the position loop, velocity loop, and current loop control) to generate PWM signals to drive the power module (such as an IGBT or MOSFET).

  Drive output: The power module converts DC power into three-phase AC power to drive the servo motor.

  Feedback Correction: The motor's built-in encoder provides real-time feedback on actual position/speed. The driver compares the setpoint with the feedback value and adjusts the output based on the error signal, achieving closed-loop control.

  III. Synergy: A Key Factor in Performance Optimization

  Parameter Matching and Tuning:

  Motor and Driver Selection: The motor's power, rated speed, and torque characteristics must be matched with the driver's output capabilities (e.g., current and voltage range). For example, a high-speed motor requires a driver that supports high-frequency PWM output.

  Control Parameter Tuning: Optimize system response (e.g., rise time, overshoot), interference rejection, and stability through auto-tuning or manual adjustment of PID parameters (proportional, integral, and differential), gain coefficients, and filter settings.

  Communication and Synchronization:

  Fieldbuses (e.g., EtherCAT and PROFINET) enable multi-axis synchronous control, ensuring high-precision coordination of multi-axis motion in robots, CNC machine tools, and other applications.

  Real-time Ethernet protocols support nanosecond-level synchronization accuracy, meeting the requirements of high-speed motion control.

  Safety and Diagnostics:

  The controller integrates safety functions (such as Safe Torque Off (STO) and Safe Speed Limit (SSL)) and complies with safety standards such as IEC 61800-5-2.

  Diagnostic functions (such as fault codes and status monitoring) provide real-time feedback on system status via LEDs, HMI, or host computer software, facilitating rapid troubleshooting.

  IV. Application Scenarios: Wide Range from Industrial to Cutting-Edge Technology

  Traditional Industry:

  CNC Machine Tools: Servo motors control tool paths, achieving micron-level machining accuracy.

  Robotics: Multi-axis servo systems enable precise positioning and trajectory tracking of robotic arms.

  Automated Production Lines: Servo-driven conveyors and sorting robots improve production efficiency.

  Cutting-Edge Technology:

  Semiconductor Manufacturing: Wafer handling robots and lithography machine positioning systems rely on ultra-precision servo control.

  Aerospace: Satellite antenna pointing control and drone attitude adjustment require high-reliability servo systems.

  Medical Equipment: Surgical robots and CT scanners achieve precise motion using servo motors.

  Emerging Fields:

  New Energy: Wind turbine pitch control systems and electric vehicle drive motors use servo control technology.

  Internet of Things and Digital Twins: Servo systems are integrated with sensors and cloud platforms to enable remote monitoring and predictive maintenance.

  V. Typical Cases: Examples of Collaboration between Servo Motors and Controllers

  Case 1: Industrial Robot

  The controller receives robot motion commands (such as position and speed), calculates the target angles for each joint through inverse kinematics, drives the servo motors to rotate, and encoders provide feedback on the actual angles, forming a closed-loop control loop to ensure the end arm reaches the target position accurately.

  Case 2: CNC Machine Tools

  The CNC system sends G-code commands to the servo driver, which controls the movement of the X/Y/Z axis motors. The encoders provide real-time position feedback, and interpolation algorithms generate smooth trajectories to achieve complex surface machining.

  Case 3: Servo Press

  In electronics assembly, servo presses use controllers to precisely control pressure and displacement, ensuring accurate press-fitting of components (such as chips and connectors) and preventing damage from over- or under-pressure.

  Summary and Trends

  The relationship between servo motors and controllers can be summarized as "integrated control and drive, seamless and precise collaboration." The controller maximizes the mechanical performance of the servo motor through algorithm optimization and closed-loop feedback; the motor's high-precision feedback and strong power output provide a reliable foundation for the controller's execution. With the development of Industry 4.0 and smart manufacturing, servo systems are evolving toward high precision, high dynamics, networking, and intelligence:

  High Precision: Encoder resolution has increased to over 23 bits, enabling nanometer-level positioning.

  High Dynamics: Response times have been shortened to milliseconds, adapting to high-speed motion scenarios.

  Networking: Industrial Ethernet and TSN time-sensitive networks support multi-axis synchronization and real-time communication.

  Intelligence: AI algorithms (such as adaptive control and fault prediction) and digital twin technology enhance system self-optimization capabilities.

  Understanding the relationship between servo motors and controllers is key to mastering core technologies in industrial automation, robotics, precision manufacturing, and other fields. Through deep collaboration and continuous innovation, these two technologies will continue to drive the manufacturing industry towards greater efficiency and intelligence.

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