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.
Simulink Control Design™ and Robust Control Toolbox™ eliminate the need for trial and error by providing systematic methods for tuning single-loop and multiloop control systems entirely within Simulink. You can:
All of these control techniques can be easily evaluated and verified in MATLAB and Simulink.
PID Control Made Easy (Webinar)
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.
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).
"Our autopilot worked on the first try, which is amazing given that a vehicle like this had never been flown before. MathWorks tools helped us design and implement control systems that kept the vehicle stable throughout the flight."Read the story