Basic Control Systems Engineering / Paul H. Lewis and Chang Yang

It includes index and appendix.

Appropriate for a basic course in Control Systems Engineering in departments of Electrical, Mechanical, Aerospace, and Chemical Engineering. The level is suitable for junior or senior engineering students.

This very accessible—text integrates realistic examples throughout its presentation of control systems engineering. By employing the remarkable capabilities of today's computers and programming techniques, the authors describe methodologies for reducing computational difficulties and improving insight into essential areas of study. Coverage addresses the needs of today's practicing engineers by including such topics as the simulation of commonly observed nonlinear phenomena and the design of discrete-event control systems. First controls that to integrate both MATLAB and SIMULINK.

Table of Content

1. Control Systems Engineering.
2. Modeling Physical Systems: Differential Equation Models.
3. Transfer-Function Models.
4. State Models.
5. Simulation.
6. Stability.
7. Performance Criteria and Some Effects of Feedback.
8. Root-Locus Techniques.
9. Frequency-Response Techniques.
10. Cascade Controller Design.
11. Controller Design Variations.
12. Nonlinear Models and Simulation.
13. Nonlinear Systems: Analytical Techniques.
14. The Application of Discrete-Event Control Techniques.
15. Design Examples.
Appendix A: Angles and Intercepts of Root-Locus Asymptotes.
Appendix B: MATLAB: Introductory Information.

Salient Features

• Maintains a careful balance between theory and practice. Pg.___
• Uses MATLAB and SIMULINK where appropriate. The clear presentation and techniques described reduce computational barriers and improve comprehension in many important areas of study. Pg.___
• Considers practical issues (such as device limitations, windup, practical PI and PID control functions, etc.).
• Presents nonlinear models intermittently throughout the text; chapters 12 and 13 are devoted to this topic nonlinear phenomena (such as static coulomb friction) are incorporated into the simulation studies.
• Presents a subject not usually contained in controls texts—the analysis and design of discrete-event control systems—because of its pertinence to factory automation and process control. Emphasizes highly-structured techniques that include the use of Petri nets and state-language tables throughout this discussion.
• Presents three system design studies that utilize techniques presented throughout the book, including an automobile cruise control system, a phase-locked motor speed control system, and a system to control the orbit of a satellite.
• Offers numerous worked examples throughout the text, including practical situations, such as the angular position control of an antenna, the design of an automotive suspension system, and the control of a automated fabrication system that utilizes two mobile robots.