PID Control with MATLAB and Simulink

Design and implement PID controllers

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

PID control involves several tasks that include:

  • Selecting an appropriate PID algorithm (P, PI, or PID)
  • Tuning controller gains
  • Simulating the controller against a plant model
  • Implementing the controller on a target processor

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
  • Run closed-loop system simulation by connecting your PID Controller block to the plant model
  • 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

Examples and How To

Workflow

Modeling

PID Tuning Against a Plant Model: Videos

PID Tuning Against a Plant Model: Examples

Real-Time PID Autotuning

FAQ

Tutorials

Software Reference

See also: control systems, system design and simulation, physical modeling, linearization, parameter estimation, PID tuning, control design software, Bode plot, root locus, PID control videos, field-oriented control, BLDC motor control

Design PID controllers using Control System Toolbox.
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PID Control Design with Control System Toolbox

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Learn how to automatically tune PID controller gains 

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