Control System Design and Tuning
Simulink® Control Design™ provides several approaches to tuning Simulink blocks that implement control solutions. You can use these techniques and tools to:
Automatically tune feedback loops containing PID Controller or PID Controller (2DOF) blocks.
Design and implement advanced control features to achieve adaptive control, disturbance compensation and constraint enforcement.
Graphically or automatically tune SISO feedback loops containing any tunable Simulink blocks.
Tune Simulink models of control systems of any fixed structure to meet high-level design goals such as reference tracking, disturbance rejection, and stability margins.
For more information about choosing among these approaches, see Choose a Control Design Approach.
Design and Tuning Basics
- Design Compensator Using Automated PID Tuning and Graphical Bode Design
- Tune PID Controller to Favor Reference Tracking or Disturbance Rejection
- Tune a Control System Using Control System Tuner
- Tune Control Systems in Simulink
- Baseline PID Controller Design
- Overcome Performance Challenges in PID Control Systems
Classical Control Design
- PID Controller Tuning
Automatic tuning of PID gains in Simulink and real-time environments
- Interactive and Graphical Tuning
Design, tune, and analyze single-input, single-output (SISO) feedback systems
- Multiloop, Multiobjective Tuning
Automated tuning of control systems to meet design requirements
- Gain Scheduling
Tune gain-scheduled controllers for nonlinear plants
Advanced Control Design
- Adaptive Control Design
Design controllers that can adapt to changing process information
- Disturbance Compensation
Estimate and compensate for disturbances and unknown dynamics for linear systems
- Assurance Mechanisms
Find control actions that satisfy specified bounds and other constraints
Improve Baseline PID Design
- Improve PID Controller Performance with Advanced Techniques
Augment PID controllers with advanced control techniques to improve performance
