Control System Tunning with MATLAB

By Perez M

Control System Toolbox provides tools for automatically tuning control systems from high-level design goals that 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, the number of feedback loops it contains, or whether it is modeled in MATLAB or Simulink. You can use the interactive Control System Tuner app, or tune at the command line. The Control System Tuner app tunes control systems modeled in MATLAB or Simulink (requires Simulink Control Design software). This app lets you tune any control system architecture to meet your design goals. You can tune multiple fixed-order, fixed-structure SISO or MIMO control elements distributed over any number of feedback loops. Control System Tuner automatically tunes the controller parameters to satisfy the must-have requirements (design constraints) and to best meet the remaining requirements (objectives). The library of tuning goals lets you capture high-level design requirements in a form suitable for fast automated tuning. Available tuning goals include standard control objectives such as reference tracking, disturbance rejection, loop shapes, closed-loop damping, and stability margins. You can tune control systems at the command line using the systune command. To do so, either: - Model your system in MATLAB using Control Design Blocks for the tunable controller elements. - Model your system in Simulink, and use the slTuner interface to configure your model for tuning (requires Simulink Control Design software). The library of tuning goals lets you capture high-level design requirements 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. At the command line, use looptune to tune SISO or MIMO feedback loops using a loop-shaping approach. looptune tunes a feedback loop to specified bandwidth and stability margins. In Control System Tuner, use Quick Loop Tuning for loop shaping of feedback loops. This book develops the following topics: - Automated Tuning Workflow - Specify Control Architecture in Control System - Control System Tuner for Tuning Simulink Model - Operating Points for Tuning in Control System Tuner - Blocks to Tune in Control System Tuner - Block Parameterization in Control System Tuner - Tuning Control System Modeled in MATLAB - Goals for Interactive Tuning - Quick Loop Tuning of Feedback Loops in Control System Tuner - Manage Tuning Goals - Generate MATLAB Code from Control System Tuner for Command-Line Tuning - Interpret Numeric Tuning Results - Visualize Tuning Goals - Create Response Plots in Control System Tuner - Examine Tuned Controller Parameters in Control System Tuner - Compare Performance of Multiple Tuned Controllers - Create and Configure slTuner Interface to Simulink Model - Stability Margins in Control System Tuning - Tune Control System at the Command Line - Speed Up Tuning with Parallel Computing Toolbox Software - Validate Tuned Control System - Extract Responses from Tuned MATLAB Model at the Command Line - Structure of Control System for Tuning With looptune - Set Up Your Control System for Tuning with looptune - Tune MIMO Control System for Specified Bandwidth - Gain-Scheduled Control Systems - Tune Gain-Scheduled Controllers - Plant Models for Gain-Scheduled Control - Parametric Gain Surfaces - Set Up Simulink Models for Gain Scheduling - Validating Gain-Scheduled Controllers - Changing Requirements with Operating Condition - Tunable Gain With Two Independent Scheduling Variables

• Format: Paperback
• Language: English
• ISBN: 1974678695
• ISBN13: 9781974678693
• Release Date: January 1
• Publisher: Createspace Independent Publishing Platform
• Length: 244 Pages
• Weight: 1.08 lbs.
• Dimensions: 0.5" x 8.0" x 10.0"