Godina izdanja: 2009
ISBN: 978-1-4200-7686-8
Jezik: Engleski
Oblast: Mašinstvo
Autor: Strani

Izdavač: CRC Press
Autor: Clarence W. de Silva
Povez: tvrd
Broj strana: XXIX + 766
Ilustrovano.
Odlično očuvana.

Developed from the author’s academic and industrial experiences, Modeling and Control of Engineering Systems provides a unified treatment of the modeling of mechanical, electrical, fluid, and thermal systems and then systematically covers conventional, advanced, and intelligent control, instrumentation, experimentation, and design. It includes theory, analytical techniques, popular computer tools, simulation details, and applications.

Overcoming the deficiencies of other modeling and control books, this text relates the model to the physical system and addresses why a particular control technique is suitable for controlling the system. Although MATLAB®, Simulink®, and LabVIEW™ are used, the author fully explains the fundamentals and analytical basis behind the methods, the choice of proper tools to analyze a given problem, the ways to interpret and validate the results, and the limitations of the software tools. This approach enables readers to thoroughly grasp the core foundation of the subject and understand how to apply the concepts in practice.

Control ensures accurate operation of a system. Proper control of an engineering system requires a basic understanding and a suitable representation (model) of the system. This book builds up expertise in modeling and control so that readers can further their analytical skills in hands-on settings.

C O N T E N T S

1. MODELING AND CONTROL OF ENGINEERING SYSTEMS
1.1. Control Engineering
1.2. Application Areas
1.3. Importance of Modeling
1.4. History of Control Engineering
1.5. Organization of the Book

2. MODELING OF DYNAMIC SYSTEMS
2.1. Dynamic Systems
2.2. Dynamic Models
2.3. Lumped Elements and Analogies
2.4. Analytical Model Development

3. MODEL LINEARIZATION
3.1. Model Linearization
3.2. Nonlinear State-Space Models
3.3. Nonlinear Electrical Elements
3.4. Linearization Using Experimental Operating Curves

4. LINEAR GRAPHS
4.1. Variables and Sign Convention
4.2. Linear Graph Elements
4.3. Linear Graph Equations
4.4. State Models from Linear Graphs
4.5. Miscellaneous Examples

5. TRANSFER-FUNCTION AND FREQUENCY-DOMAIN MODELS
5.1. Laplace and Fourier Transforms
5.2. Transfer-Function
5.3. Frequency-Domain Models
5.4. Transfer-Functions of Electro-Mechanical Systems
5.5. Equivalent Circuits and Linear Graph Reduction
5.6. Block Diagrams and State Space-Models

6. RESPONSE ANALYSIS AND SIMULATION
6.1 Analytical Solution
6.2. First-Order Systems
6.3. Second-Order Systems
6.4. Forced Response of a Damped Oscillator
6.5. Response Using Laplace Transformation
6.6. Determination of ICs for Step Response
6.7. Computer Simulation

7. CONTROL SYSTEM STRUCTURE AND PERFORMANCE
7.1. Control System Structure
7.2. Control System Performance
7.3. Control Schemes
7.4. Steady-State Error and Integral Control
7.5. System Type and Error Constants
7.6. Control System Sensitivity

8. STABILITY AND ROOT LOCUS METHOD
8.1. Stability
8.2. Routh-Hurwitz Criterion
8.3. Root Locus Method
8.4. Stability in the Frequency Domain
8.5. Bode Diagram Using Asymptotes
8.6. Nyquist Stability Criterion
8.7. Nichols Chart

9. CONTROLLER DESIGN AND TUNING
9.1. Controller Design and Tuning
9.2. Conventional Time-Domain Design
9.3. Compensator Design in the Frequency Domain
9.4. Design Using Root Locus
9.5. Controller Tuning

10. DIGITAL CONTROL
10.1. Digital Control
10.2. Signal Sampling and Control Bandwidth
10.3. Digital Control Using z-Transform
10.4. Digital Compensation

11. ADVANCED CONTROL
11.1. Modern Control
11.2. Time Response
11.3. System Stability
11.4. Controllability and Observability
11.5. Modal Control
11.6. Optimal Control
11.7. Linear Quadratic Regulator
11.8. Other Advanced Control Techniques
11.9. Fuzzy Logic Control

12. CONTROL SYSTEM INSTRUMENTATION
12.1. Control System Instrumentation
12.2. Component Interconnection
12.3. Motion Sensors
12.4. Stepper Motors
12.5. dc Motors
12.6 .Control Experiments Using LabVIEW™

Appendix A: Transform Techniques
Appendix B: Software Tools
Appendix C: Review of Linear Algebra

(K-184)