Practical Applications Using MATLAB® and Simulink®
E-Book, Englisch, 384 Seiten
ISBN: 978-1-4665-6852-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Make Control Engineering Come Alive with Computer-Aided Software
Emphasizing key aspects of the design process, the book covers the dynamic modeling, control structure design, controller design, implementation, and testing of control systems. It begins with the essential ideas of applied control engineering and a hands-on introduction to MATLAB and Simulink. It then discusses the analysis, model order reduction, and controller design for a power plant and the modeling, simulation, and control of a remotely operated vehicle (ROV) for pipeline tracking. The author explains how to obtain the ROV model and verify it by using computational fluid dynamic software before designing and implementing the control system. In addition, the book details the nonlinear subsystem modeling and linearization of the ROV at vertical plane equilibrium points. Throughout, the author delineates areas for further study. Appendices provide additional information on various simulation models and their results.
Learn How to Perform Simulations on Real Industry Systems
A step-by-step guide to computer-aided applied control design, this book supplies the knowledge to help you deal with control problems in industry. It is a valuable reference for anyone who wants a better understanding of the theory and practice of basic control systems design, analysis, and implementation.
Zielgruppe
Students, researchers, and engineers working in control engineering simulation and modeling, particularly in marine engineering and power engineering.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
An Overview of Applied Control Engineering
Historical Review
Computer-Aided Control System Design
Control System Fundamentals
Examples of Control Systems
Control Systems Design
Introduction to MATLAB and Simulink
What is MATLAB and Simulink.
MATLAB Basic
Solving a Differential Equation
Simulink-Closed-Loop Control System Design
Analysis and Control of ALSTOM Gasifier Problem
Gasifier System Description and Notation
Inherent Properties Analysis
Control Structure Design
Gasifier System Analysis
Model Order Reduction (MOR)
Linear Quadratic Regulator (LQR)
Linear Quadratic Gaussian (LQG)
H-Infinity Optimization
H2 Optimization
Comparison of Controllers
Comparison of All Controllers
Modeling of a Remotely Operated Vehicle
Background of the URV
Basic Design of a ROV and Tasks Undertaken
Need for ROV Control
Dynamic Equation Using the Newtonian Method
Kinematics Equation and Earth-Fixed Frame Equation
RRC ROV Model
Perturbed RRC ROV Model
Verification of ROV Model
Control of a Remotely Operated Vehicle
Nonlinear ROV Subsystem Model
Linear ROV Subsystem Model
Nonlinear ROV Control Systems Design
Linear ROV Control Systems Design
References
Appendices
Appendix A1: State-Space Matrices for ALSTOM Gasifier System (Linear)
Appendix A2: LQR Simulation Model and Results
Appendix A3: LQG Simulation Model
Appendix A4: LQG/LTR Simulation Model and Results
Appendix A5: H2 Simulation Model and Results
Appendix A6: H8 Simulation Model and Results
Index