Publisher's Synopsis
Control System Toolbox provides algorithms and apps for systematically analyzing, designing, and tuning linear control systems. You can specify your system as a transfer function, state-space, zero-pole-gain, or frequency-response model. Apps and functions, such as step response plot and Bode plot, let you analyze and visualize system behavior in the time and frequency domains. You can tune compensator parameters using interactive techniques such as Bode loops haping and the root locus method. The toolbox automatically tunes both SISO and MIMO compensators, including PID controllers. Compensators can include multiple tunable blocks spanning several feedback loops. You can tune gain-scheduled controllers and specify multiple tuning objectives, such as reference tracking, disturbance rejection, and stability margins. You can validate your design by verifying rise time, overshoot, settlingtime, gain and phase margins, and other requirements.Model properties are the data field that store all data about a dynamic system model. Data stored in model properties includes model dynamics, such as transfer-function coefficients state-space matrices, and time delays. Model properties also let you specify other model attributes such as sample time, channel names, and state names.When you create a dynamic system model, the software sets all property values. Properties that contain model dynamics are automatically set with the appropriate values. Other properties are set to default values. (See model reference pages for information about default property values.)You can specify other values for model properties at model creation using the Name, Value pair syntax of the model-creation command. In this syntax, you specify the name of the property you want to set, followed by the value. You can set multiple property values in one command.Control System Toolbox software includes several commands for extracting model coefficient such as transfer function numerator and denominator coefficients state-space matrices, and proportional-integral-derivative (PID) gains. When you use a data extraction command on a model of a different type, the software computes the coefficient of the target model type.
