Simulink Control Design
Description
- Introduction and Key Features
- Tuning PID Controllers
- Trimming and Linearizing Simulink Models
- Designing and Analyzing Control Systems in Simulink
- PID Control with MATLAB and Simulink
PID Control with MATLAB and Simulink
Design and implement PID controllers
PID tuning and implementation involve 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 and fine-tune your design interactively
- 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
