The book "Modelling 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 compendium relates the model to the physical system and addresses why a particular control technique is suitable for controlling the system. 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.
Preface
1. Modelling and Control of Engineering Systems
1. Introduction
2. Control Engineering
3. Application Areas
4. History of Control Engineering
Epilogue
References
2. Modelling of Dynamic Systems
1. Introduction
2. Dynamic Systems
3. Dynamic Models
5. Lumped Elements and Analogies
6. Working with Lumped Mechanical Systems
7. The Mechanical and Electrical Analogy
8. The Components of a Mechanical Circuit Model
9. Implementing a Lumped Mechanical Circuit in COMSOL Multiphysics
10. Analytical Model Development
Epilogue
References
3. Model Linearization
1. Introduction
2. Linear Interpolation with Unequally Spaced Breakpoints
3. Linearizing Non-Linear Graphs
4. Nonlinear State-Space Models
5. The local level model with an intervention variable
6. Linearization Using Experimental Operating Curves
Epilogue
References
4. Linear Graphs
1. Introduction
2. Understanding Line Graphs
3. Variables and Sign Convention
4. Linear Graph Elements
5. Converting an Equation to Slope-Intercept Form
6. Linear Graph Equations
7. State Models from Linear Graphs
Epilogue
References
5. Transfer-Function and Frequency-Domain Models
1. Introduction
2. Laplace and Fourier Transforms
3. Transfer Function
4. Low Pass Butterworth Filter Design
5. FREQUENCY Domain Models
6. Transfer Functions of Electro-Mechanical Systems
7. Equivalent Circuits and Linear Graph Reduction
8. BLOCK Diagrams and State-Space Models
Epilogue
References
6. Response Analysis and Simulation
1. Introduction
2. Analytical Solution
3. Second-Order Systems
4. Forced Response of a Damped Oscillator
5. Response Using Laplace Transform
6. Determination of ICs for Step Response
7. Computer Simulation
Epilogue
References
7. Control System Structure and Performance Control System
1. Introduction
2. Structure Control System
3. Performance Control
4. Schemes Steady-State Error and Integral Control
5. System Type and Error Constants
EPILOGUE
References
8. Stability and Root Locus Method Stability
1. Introduction
2. Routh–Hurwitz Criterion
4. Root Locus Method
5. Root Locus Plot
6. Stability in the Frequency Domain
7. Magnitude and Phase Information of the FFT
8. Stability, wild oscillations, the necessity of tests
Epilogue
References
9. Controller Design and Tuning
1. Introduction
2. Controller Design and Tuning
3. Conventional Time-Domain Design
Epilogue
References
10. Digital Control System
1. Introduction
2. Digital Control Signal
3. Closed-Loop Control System
4. Component Interconnection
5. Motion Sensors
Epilogue
References
Index
Thad Raymond pursued his Masters in Robotics and Automation Engineering from Public Technological University, Perth. He is a Senior Science Research Specialist at Technical Institute, Cardiff. He has written several articles, research report and papers on robotics. His interest research areas are mobile computing, software engineering, computer engineering, systems engineering and sciences.
