Designing Feedback Compensators and Control Logic
Once an accurate plant model has been created, control engineers analyze and develop closed-loop compensators and open-loop supervisory strategies using a range of MathWorks tools.
Explore Products for Control Systems
Analyze Control Systems
- Assess key performance parameters, such as overshoot, rise time, and stability
- Trim, linearize, and compute the frequency response of nonlinear Simulink models
- Model and analyze the effects of uncertainty on the performance and stability of your models
Systematically Apply a Control Design Technique
Simulink Control Design™ eliminates the need for trial and error by providing systematic methods for tuning single-loop and multiloop control systems entirely within Simulink. You can:
- Automatically tune PID controllers
- Apply linear control design techniques using interactive root locus, Bode, and Nichols diagrams
- Automatically tune decentralized multivariable controllers
- Leverage advanced control strategies, such as model predictive control and fuzzy logic
All of these control techniques can be easily evaluated and verified in MATLAB and Simulink.
Optimize System Performance
Improve system performance and reduce system cost by automatically tuning design parameters in your Simulink model with Simulink Design Optimization™. You can optimize controller gains to meet rise-time and overshoot constraints, or jointly optimize physical and algorithmic parameters to maximize overall system performance.
Design and Simulate Supervisory Logic
Stateflow® enables you to model, design, and simulate the supervisory logic in your control system, which schedules the operation of the controller, controls the operational mode of the system, and performs fault detection, isolation, and recovery (FDIR).
