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Control System with Matlab. Linear System Modeling

Control System with Matlab. Linear System Modeling

          
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About the Book

MATLAB 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 loop shaping 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, settling time, gain and phase margins, and other requirements. Typically, control engineers begin by developing a mathematical description of the dynamic system that they want to control. The system to be controlled is called a plant. As an example of a plant, this section uses the DC motor. This section develops the differential equations that describe the electromechanical properties of a DC motor with an inertial load. It then shows you how to use the Control System Toolbox functions to build linear models based on these equations. This book develops the following topics: - Linear Syastem Model Objects - Control System Modeling with Model Objects - Types of Model Objects - Dynamic System Models - Static Models - Numeric Models - Numeric Linear Time Invariant (LTI) Models - Identified LTI Models - Identified Nonlinear Models - Generalized Models - Models with Tunable Coefficients - Model creation - Transfer Functions - State-Space Models - Frequency Response Data (FRD) Models - Proportional-Integral-Derivative (PID) Controllers - Two-Degree-of-Freedom PID Controllers - Discrete-Time Numeric Models - Discrete-Time Proportional-Integral-Derivative (PID)Controllers - MIMO Transfer Functions - MIMO State-Space Models - MIMO Frequency Response Data Models - Select Input/Output Pairs in MIMO Models - Time Delays in Linear Systems - Closing Feedback Loops with - Time DelaysTime-Delay Approximatio - Convert Time Delay in Discrete-Time Model to Factors of 1/z - Frequency Response Data (FRD) Model with TimeDelay - Internal Delays - Create Tunable Low-Pass Filter - Create Tunable Second-Order Filter - Create State-Space Model with Both Fixed and Tunable Parameters - Control System with Tunable Components - Control System with Multichannel Analysis Points - Mark Signals of Interest for Control System Analysis and Design - Model Arrays - Linear Parameter-Varying Models - Using LTI Arrays for Simulating Multi-Mode Dynamics - Data Maanipulation - Model Interconnections - Model Transformation - Model Simplification


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Product Details
  • ISBN-13: 9781974677856
  • Publisher: Createspace Independent Publishing Platform
  • Publisher Imprint: Createspace Independent Publishing Platform
  • Height: 0 mm
  • No of Pages: 326
  • Width: 19 mm
  • ISBN-10: 1974677850
  • Publisher Date: 16 Dec 2018
  • Binding: Paperback
  • Language: English
  • Weight: 65376 gr


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