State-space control systems : the MATLAB®/Simulink® approach / Farzin Asadi.
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Item type | Current library | Call number | Status | Date due | Barcode |
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Indian Institute of Technology Delhi - Central Library | Available |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Includes bibliographical references.
1. Entering the state-space model into MATLAB/SIMULINK environment -- 1.1. Introduction -- 1.2. State-space representation -- 1.3. State-space model of a mechanical system -- 1.4. Entering the state-space model into MATLAB -- 1.5. Entering the state-space models to SIMULINK -- 1.6. Modeling the state-space model using the integrator block -- 1.7. Simulation of state-space model with the aid of MATLAB function block -- 1.8. Simulation with the aid of ode23 or ode45 -- 1.9. Further reading
2. Linearization of nonlinear systems -- 2.1. Introduction -- 2.2. Linearization using hand calculations -- 2.3. Linearization of inverted pendulum on a cart using MATLAB -- 2.4. Linearization of inverted pendulum on a cart using SIMULINK -- 2.5. Further reading
3. Designing state feedback controller -- 3.1. Introduction -- 3.2. Example 1 : DC motor speed control -- 3.3. Example 2 : DC motor position control problem -- 3.4. Example 3 : magnetic levitation system -- 3.5. Reference.
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These days, nearly all the engineering problem are solved with the aid of suitable computer packages. This book shows how MATLAB/Simulink could be used to solve state-space control problems. In this book, it is assumed that you are familiar with the theory and concepts of state-space control, i.e., you took or you are taking a course on state-space control system and you read this book in order to learn how to solve state-space control problems with the aid of MATLAB/Simulink. The book is composed of three chapters. Chapter 1 shows how a state-space mathematical model could be entered into the MATLAB/Simulink environment. Chapter 2 shows how a nonlinear system could be linearized around the desired operating point with the aid of tools provided by MATLAB/Simulink. Finally, Chapter 3 shows how a state-space controller could be designed with the aid MATLAB and be tested with Simulink. The book will be useful for students and practical engineers who want to design a state-space control system.
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