Control Systems with Matlab. Control System Tuning

The control system tuning tools such as systune and Control System Tuner automatically tune control systems from high-level tuning goals you specify, such as reference tracking, disturbance rejection, and stability margins. The software jointly tunes all the free parameters of your control system regardless of control system architecture or the number of feedback loops it contains.Control systems are tuned to meet your specific performance and robustness goals subject to feasibility constraints such as actuator limits, sensor accuracy, computing power, or energy consumption. The library of tuning goals lets you capture these objectives in a form suitable for fast automated tuning. This library includes standard control objectives such as reference tracking, disturbance rejection, loop shapes, closed-loop damping, and stability margins. Using these tools, you can perform multi-objective tuning of control systems having any structure.You can tune control systems at the MATLAB command line or using the Control System Tuner App. Control System Tuner provides an interactive graphical interface for specifying your tuning goals and validating the performance of the tuned control system. Use Control System Tuner to tune control systems consisting of any number of feedback loops, with tunable components having any structure (such as PID, gain block, or statespace). You can represent your control architecture in MATLAB as a tunable generalized state-space (genss) model. If you have Simulink Control Design software, you can tune a control system represented by a Simulink model. Use the graphical interface to configure your tuning goals, examine response plots, and validate your controller design. The systune command can perform all the same tuning tasks as Control System Tuner. Tuning at the command line allows you to write scripts for repeated tuning tasks. systune also provides advanced techniques such as tuning a controller for multiple plants, or designing gain-scheduled controllers. To use the command-line tuning tools, you can represent your control architecture in MATLAB as a tunable generalized statespace(genss) model. If you have Simulink Control Design software, you can tune a control system represented by a Simulink model using an slTuner interface. Use the TuningGoal requirement objects to configure your tuning goals. Analysis commands such as getIOTransfer and viewGoal let you examine and validate the performance of your tuned system.Control System Tuner lets you tune a control system having any architecture. Control system architecture defines how your controllers interact with the system under control. The architecture comprises the tunable control elements of your system, additional filter and sensor components, the system under control, and the interconnections among all these elements.Control System Tuner gives you several ways to define your control system architecture: - Use the predefined feedback structure of the illustration.- Model any control system architecture in MATLAB by building a generalized statespace (genss) model from fixed LTI components and tunable control design blocks.- Model your control system in Simulink and specify the blocks to tune in Control System Tuner (requires Simulink Control Design software).