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Modeling and Control of Engineering SystemsBy Clarence W. de Silva
M00002555
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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.
Table of Contents
Modeling and Control of Engineering Systems
Control Engineering
Application Areas
Importance of Modeling
History of Control Engineering
Organization of the Book
Modeling of Dynamic Systems
Dynamic Systems
Dynamic Models
Lumped Elements and Analogies
Analytical Model Development
Model Linearization
Model Linearization
Nonlinear State-Space Models
Nonlinear Electrical Elements
Linearization Using Experimental Operating Curves
Linear Graphs
Variables and Sign Convention
Linear Graph Elements
Linear Graph Equations
State Models from Linear Graphs
Miscellaneous Examples
Transfer-Function and Frequency-Domain Models
Laplace and Fourier Transforms
Transfer Function
Frequency Domain Models
Transfer Functions of Electro-Mechanical Systems
Equivalent Circuits and Linear Graph Reduction
Block Diagrams and State-Space Models
Response Analysis and Simulation
Analytical Solution
First-Order Systems
Second-Order Systems
Forced Response of a Damped Oscillator
Response Using Laplace Transform
Determination of ICs for Step Response
Computer Simulation
Control System Structure and Performance
Control System Structure
Control System Performance
Control Schemes
Steady-State Error and Integral Control
System Type and Error Constants
Control System Sensitivity
Stability and Root Locus Method
Stablility
Routh–Hurwitz Criterion
Root Locus Method
Stability in the Frequency Domain
Bode Diagram Using Asymptotes
Nyquist Stability Criterion
Nichols Chart
Controller Design and Tuning
Controller Design and Tuning
Conventional Time-Domain Design
Compensator Design in the Frequency Domain
Design Using Root Locus
Controller Tuning
Digital Control
Digital Control
Signal Sampling and Control Bandwidth
Digital Control Using z-Transform
Digital Compensation
Advanced Control
Modern Control
Time Response
System Stability
Controllability and Observability
Modal Control
Optimal Control
Linear Quadratic Regulator (LQR)
Other Advanced Control Techniques
Fuzzy Logic Control
Control System Instrumentation
Control System Instrumentation
Component Interconnection
Motion Sensors
Stepper Motors
dc Motors
Control Experiments Using LabVIEW
Appendix A: Transform Techniques
Appendix B: Software Tools
Appendix C: Review of Linear Algebra
Index
Problems appear at the end of each chapter.
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Author(s)
Biography
Clarence W. de Silva is a professor of mechanical engineering and Tier 1 Canada Research Chair Professor of Mechatronics and Industrial Automation (formerly Senior NSERC-BC Packers Research Chair Professor) at the University of British Columbia.
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