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Dynamic Systems: Modeling, Simulation, and Control, 2nd Edition

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Dynamic Systems: Modeling, Simulation, and Control, 2nd Edition

Craig A. Kluever

ISBN: 978-1-119-60186-9 November 2019

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Description

The simulation of complex, integrated engineering systems is a core tool in industry which has been greatly enhanced by the MATLAB® and Simulink® software programs. The second edition of Dynamic Systems: Modeling, Simulation, and Control teaches engineering students how to leverage powerful simulation environments to analyze complex systems. Designed for introductory courses in dynamic systems and control, this textbook emphasizes practical applications through numerous case studies—derived from top-level engineering from the AMSE Journal of Dynamic Systems. Comprehensive yet concise chapters introduce fundamental concepts while demonstrating physical engineering applications.

Aligning with current industry practice, the text covers essential topics such as analysis, design, and control of physical engineering systems, often composed of interacting mechanical, electrical, and fluid subsystem components. Major topics include mathematical modeling, system-response analysis, and feedback control systems. A wide variety of end-of-chapter problems—including conceptual problems, MATLAB® problems, and Engineering Application problems—help students understand and perform numerical simulations for integrated systems.

Contents

Preface

1             Introduction to Dynamic Systems and Control

1.1         Introduction

1.2         Classification of Dynamic Systems

1.3         Modeling Dynamic Systems

1.4         Objectives and Textbook Outline

References

2             Modeling Mechanical Systems

2.1         Introduction

2.2         Mechanical Element Laws

 2.3        Translational Mechanical Systems            

2.4         Rotational Mechanical Systems

Summary

References

Problems

3             Modeling Electrical and Electromechanical Systems

3.1         Introduction

3.2         Electrical Element Laws

3.3         Electrical Systems

3.4         Operational-Amplifier Circuits

3.5         Electromechanical Systems

Summary

References

Problems

4             Modeling Fluid and Thermal Systems

4.1         Introduction

4.2         Hydraulic Systems

4.3         Pneumatic Systems

4.4         Thermal Systems

Summary

References

Problems

 5            Standard Models for Dynamic Systems

5.1         Introduction

5.2         State-Variable Equations

5.3         State-Space Representation

5.4         Linearization

5.5         Input-Output Equations

5.6         Transfer Functions

5.7         Block Diagrams

5.8         Standard Input Functions

Summary

Problems

6             Numerical Simulation of Dynamic Systems

6.1         Introduction

6.2         System Response Using MATLAB Commands

6.3         Building Simulations Using Simulink

6.4         Simulating Linear Systems Using Simulink

6.5         Simulating Nonlinear Systems

6.6         Building Integrated Systems

Summary

References

Problems            

7             Analytical Solution of Linear Dynamic Systems

7.1         Introduction

7.2         Analytical Solutions to Linear Differential Equations

7.3         First-Order System Response

7.4         Second-Order System Response

7.5         Higher-Order Systems

7.6         State-Space Representation and Eigenvalues

7.7         Approximate Models

Summary

Reference

Problems

8             System Analysis Using Laplace Transforms

8.1         Introduction

8.2         Laplace Transformation

8.3         Inverse Laplace Transformation

8.4         Analysis of Dynamic Systems Using Laplace Transforms

Summary

References

Problems

9             Frequency-Response Analysis

9.1         Introduction

9.2         Frequency Response

 9.3        Bode Diagrams

9.4         Vibrations Summary References Problems

10           Introduction to Control Systems

10.1       Introduction

10.2       Feedback Control Systems

10.3       Feedback Controllers

10.4       Steady-State Accuracy

10.5       Closed-Loop Stability

10.6       Root-Locus Method

10.7       Stability Margins

10.8       Implementing Control Systems

Summary

References

Problems

11           Case Studies in Dynamic Systems and Control

11.1       Introduction

 11.2      Vibration Isolation System for a Commercial Vehicle        

11.3       Solenoid Actuator – Valve System

11.4       Pneumatic Air-Brake System

11.5       Hydraulic Servomechanism Control

11.6       Feedback Control of a Magnetic Levitation System

Summary

References

Appendix A Units

Appendix B MATLAB Primer for Analyzing Dynamic Systems

B.1         Introduction

B.2         Basic MATLAB Computations

B.3         Plotting with MATLAB

B.4         Constructing Basic M-files

B.5         Commands for Linear System Analysis

B.6         Commands for Laplace Transform Analysis

B.7         Commands for Control System Analysis

Appendix C Simulink Primer

C.1 Introduction

C.2 Building Simulink Models of Linear Systems

C.3 Building Simulink Models of Nonlinear Systems

C.4 Summary of Useful Simulink Blocks

Index

  • Now available in enhanced e-book format with interactive practice problems, show/hide solutions, and new student videos
  • Approximately 100 new problems with show/hide solutions
  • 25 new problem-solving video tutorials available within the enhanced eBook
  • New “exposition style problems” that include step-by-step narratives of the author’s problem-solving process
  • Instructor “reserve problems” test bank with exercises to be assigned at the instructor’s discretion is available on the book companion site
  • Covers mathematical modeling, system-response analysis, and feedback control systems
  • Introduces numerical simulation for integrated systems
  • Presents clear and concise modeling explanations by focusing on representative systems
  • Features numerous real-world case studies to demonstrate fundamental concepts and the analysis of complex engineering systems
  • Includes Simulink® and MATLAB® tutorials
  • Provides an applied engineering focus, showing students how they would analyze complex systems in their future careers