Design and implement PID controllers

PID control involves several tasks that include:

  • Selecting an appropriate PID algorithm (P, PI, or PID)
  • 调整控制器收益
  • Simulating the controller against a plant model
  • Implementing the controller on a target processor

While simple in theory, design and implementation of PID controllers can be difficult and time consuming in practice.

MATLAB and add-on products bring efficiency to these design tasks by enabling you to:

  • Configure your Simulink PID Controller block for PID algorithm (P,PI, or PID), controller form (parallel or standard), anti-windup protection (on or off), and controller output saturation (on or off)
  • Automatically tune controller gains against a plant model and fine-tune your design interactively
  • Autotune controller gains in real time against a physical plant
  • Tune multiple controllers in batch mode
  • 通过将PID控制器块连接到工厂模型来运行闭环系统仿真
  • Automatically generate C code for targeting a microcontroller
  • Automatically generate IEC 61131 structured text for targeting a PLC or PAC
  • Automatically scale controller gains to implement your controller on a processor with fixed-point arithmetic

例子和如何

Workflow

Modeling

PID Tuning Against a Plant Model

Motor Control

Power Conversion

机器人

Chemical Processes

Mechanical

实时PID自动调谐

FAQ

Tutorials


Software Reference

Modeling

PID Tuning

See also:control systems,system design and simulation,physical modeling,linearization,parameter estimation,PID tuning,控制设计软件,Bode plot,root locus,PID控制视频,field-oriented control,BLDC motor control,motor simulation for motor control design,power factor correction,small signal analysis

Download Code Examples

Learn how to automatically tune PID controller gains