Control System Toolbox
Description
- Introduction and Key Features
- Working with Control System Toolbox
- Creating and Manipulating Linear Models
- Analyzing Models
- Tuning Control Systems
Introduction
Control System Toolbox™ provides industry-standard algorithms and tools for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, pole-zero-gain, or frequency-response model. Interactive tools and command-line functions, such as step response plot and Bode plot, let you visualize system behavior in time domain and frequency domain. You can tune compensator parameters using automatic PID controller tuning, Bode loop shaping, root locus method, LQR/LQG design, and other interactive and automated techniques. You can validate your design by verifying rise time, overshoot, settling time, gain and phase margins, and other requirements.
Key Features
- Transfer-function, state-space, pole-zero-gain, and frequency-response models of linear systems
- Series, parallel, feedback, and general block-diagram connection of linear models
- Step response, Nyquist plot, and other time- and frequency-domain tools for analyzing stability and performance measures
- Root locus, Bode diagrams, LQR, LQG, and other classical and state-space control system design techniques
- Automatic tuning of PID controllers
- Model representation conversion, continuous-time model discretization, and low-order approximation of high-order systems
- LAPACK and SLICOT algorithms optimized for accuracy and performance

Control and Estimation Tools Manager (top), a workflow-based GUI that lets you interactively analyze, design, and tune controllers. Available tools include root locus, Bode, and step-response plots (bottom).


