Simulink Control Design

Designing and Analyzing Control Systems in Simulink

Simulink Control Design provides a GUI for tuning control loops directly in Simulink, using the graphical and automated tuning capabilities of Control System Toolbox™. You can use any control architecture that you build in Simulink that is linearizable. Tunable Simulink blocks include Gain, Transfer Function, Zero-Pole, State-Space, and PID Controller. Simulink Control Design automatically identifies the relevant control loops for the tuned blocks and launches a preconfigured session of the single-input/single-output (SISO) Design Tool.

Controller Design for Nonlinear Systems 9:10
Design a controller for a nonlinear model of a wheel loader using root locus and Bode plots.

You can use the SISO Design Tool to:

• Graphically tune multiple, continuous, or discrete SISO loops.
• Observe loop interactions and coupling effects while tuning parameters.
• Compute compensator designs using systematic design algorithms such as proprietary Robust Response Time PID tuning, Ziegler-Nichols PID tuning, IMC design, or LQG design.
• Optimize the control loops to meet time-domain and frequency-domain design requirements (requires Simulink Design Optimization).
• Directly tune Simulink block parameters, including PID gains, zero-pole-gain representations, and masked blocks.
• Examine the closed-loop response such as a reference trajectory or the ability of a control system to reject a disturbance at any portion of a model.
• Write the tuned parameter values back to your Simulink model for verification with the full nonlinear system.

Optimizing a multiloop control system to simultaneously meet frequency-domain requirements (left) and time-domain requirements (right). The controller parameters to be optimized are specified in a GUI (top).