What are the common control methods for servo driver boards?

The servo drive board as the core device of servo motor control, its control method directly affects the motor performance and application scenarios. According to the technical principle and application requirements of servo actuators, there are

1.several common servo actuator control methods:
Pulse control (Pulse + Direction Control)
Principle: Control the position of the motor by sending a pulse signals. The frequency of the pulses determines the speed, the number of pulses determines the angle of rotation, and the directional signal (high/low level) controls the positive and negative rotation of the motor. Features:
Open loop control: No encoder feedback is not required (some systems may rely on external sensors) and costs less.
Accuracy depends on the pulse: Resolution is limited by the pulse generator and is usually suitable for medium and low precision scenarios.
Application scenarios: Early stepper motor control, simple positioning systems (such as feeder, marking machine).

2.Analog Control (Voltage Control)
Principle: The motor speed or torque can be controlled by input of inputting analog voltage signals (e.g. 0-10V, ±10V). The voltage magnitude is proportional to the motor parameters. Features:
Continuous control: Speed adjustment and torque adjustment smooth.
Low jamming resistance: susceptible to voltage fluctuations and requires the use of high-precision power sources.
Application scenarios: Cases requiring continuous speed regulation (e.g. fans, pumps and other load types).

3.Communication Control (Bus Control)
How it works: Parameter setting, status monitoring, and real-time control are achieved by exchanging data with a host or controller via digital communication protocols (e.g., CANopen, EtherCAT, Modbus, RS485, etc.). Features:
High integration: Supports multi-axis synchronous control to reduce wiring complexity.
Flexibility: Adaptable to extensible functional modules (such as security module, encoder interfaces).
Application scenarios: Complex automation systems (e.g. robots, CNC machines, packaging machinery, etc.).

4.Location control
Principle: feedback the actual position of the motor through the encoder and compare it with the target position. The output is then adjusted to achieve precise position control. Features:
Closed loop control: high precision, fast response speed, strong anti-jamming capability.
Requires encoder support: usually used with pulse control or communication control.
Application scenarios: Situations requiring precise positioning (such as robotic arm joints, printing presses).

5. Speed control
Principle: The motor speed can be controlled by adjusting the input voltage or current frequency. At the same time, closed-loop control is realized by feedback of the encoder. Features:
Dynamic Response Speed: Speed can be adjusted quickly to accommodate load changes.
speed sensor required: usually integrated into drive or motor.
Application scenarios: Cases requiring constant operation (e.g. conveyor belt, centrifuge).

6.Torque control
Principle: Direct control of motor output torque, through current feedback to achieve closed-loop control, the motor torque or according to the set curve variation. Features:
High torque accuracy: Suitable for situations where precise torque control is required.
Current sensor required: usually integrated into the drive.
Application scenarios: Material Test Machine, Winding Machine, tension control systems.

7. Hybrid control mode
Principle: Combine various control methods (such as position + speed, speed + torque) to dynamically switch control strategies according to actual needs. Features:
Flexibility: can adapt to complex working conditions.
Complex implementation: requires driver support for multi-mode switching and parameter configuration.
Application scenarios: Multi-axis collaborative control (e.g. robots, CNC machines).

8. Intelligent control (e.g. adaptive control, fuzzy control)
Principle: Adopting advanced algorithms (such as PID optimization, neural network, fuzzy logic, etc.), control parameters are automatically adjusted to optimize system performance. Features:
Adaptable: can handle nonlinear and time-varying loads and other complex situations.
Large-scale computing load: Driver must have a high performance processor.
Application scenarios: High precision, high dynamic response system (e.g. semiconductor equipment, precision machining machines).