Simulink Control Design
Product Description
- Introduction and Key Features
- Tuning PID Controllers
- Trimming and Linearizing Simulink Models
- Designing and Analyzing Control Systems in Simulink
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.

Free Control Systems Interactive Kit
Learn more about resources for designing, testing, and implementing control systems.
Get free kit
