Download Free Computer Aided Control Systems Engineering Book in PDF and EPUB Free Download. You can read online Computer Aided Control Systems Engineering and write the review.

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how powerful software such as MATLAB® and Simulink® can aid in control systems design. 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.
The previous book on this subject by the above mentioned editors was published in 1985, and was very well received. Significant advances have been made in Computer-Aided Control Systems Engineering (CACSE) since that time, as evidenced by the contents of the present book. The main focus of this volume is on the research aspects of computer-aided control systems engineering, and is intended to be the first in a series on the topic. With the emphasis on current research the papers include subjects in six topical areas: Algorithms; Artificial Intelligence; Data Structures; Environments; Real Time Control; and Simulation. The twenty articles have been written by leading authorities in this field and will provide a definitive reference source for anyone interested in the latest advances and results of current experimental research in computer-aided control systems engineering.
The most advanced computer-aided design packages and languages for control systems engineering are discussed here by internationally-renowned engineers and academics. The papers survey more than ten CAD packages and languages for a variety of computer sizes (including personal computers). Also included are Software Summaries'', containing details of 37 available packages from around the world.
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems design through the practical examples of the ALSTOM gasifier system in power stations and underwater robotic vehicles in the marine industry. It also shows how powerful software such as MATLAB® and Simulink® can aid in control systems design. 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.
Highly regarded for its accessibility and focus on practical applications, Control Systems Engineering offers students a comprehensive introduction to the design and analysis of feedback systems that support modern technology. Going beyond theory and abstract mathematics to translate key concepts into physical control systems design, this text presents real-world case studies, challenging chapter questions, and detailed explanations with an emphasis on computer aided design. Abundant illustrations facilitate comprehension, with over 800 photos, diagrams, graphs, and tables designed to help students visualize complex concepts. Multiple experiment formats demonstrate essential principles through hypothetical scenarios, simulations, and interactive virtual models, while Cyber Exploration Laboratory Experiments allow students to interface with actual hardware through National Instruments' myDAQ for real-world systems testing. This emphasis on practical applications has made it the most widely adopted text for core courses in mechanical, electrical, aerospace, biomedical, and chemical engineering. Now in its eighth edition, this top-selling text continues to offer in-depth exploration of up-to-date engineering practices.
The book represents a modern treatment of classical control theory and application concepts. Theoretically, it is based on the state-space approach, where the main concepts have been derived using only the knowledge from a first course in linear algebra. Practically, it is based on the MATLAB package for computer-aided control system design, so that the presentation of the design techniques is simplified. The inclusion of MATLAB allows deeper insights into the dynamical behaviour of real physical control systems, which are quite often of high dimensions. Continuous-time and discrete-time control systems are treated simultaneously with a slight emphasis on the continous-time systems, especially in the area of controller design. Instructor's Manual (0-13-264730-3).
This book is about Computer Aided Control System Design (CACSD) of the direct process controller. Various methods and tools, representing an up-to-date level of development, are presented by leading experts. Several articles describe main principles and problems associated with modern direct control and with CACSD. Existing tools are presented, including packages for stability analysis of nonlinear systems, adaptive control design and integrated analysis, and simulation and tuning of controllers. The reader can observe that it is possible to develop CACSD tools by using open general packages such as Matlab or Simulab, or by providing specialised software. He can then compare both approaches and get an improved understanding of their respective advantages and disadvantages. The leading article by the editors presents CACSD Methods and tools in a broader context. There is also detailed material on upper control layers, hierarchical control, and real-time systems.
The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems. Their performance and their low cost make them suitable for use in control systems of various kinds which demand far better capabilities and performances than those provided by analog controllers. However, in order really to take advantage of the capabilities of microprocessors, it is not enough to reproduce the behavior of analog (PID) controllers. One needs to implement specific and high-performance model based control techniques developed for computer-controlled systems (techniques that have been extensively tested in practice). In this context identification of a plant dynamic model from data is a fundamental step in the design of the control system. The book takes into account the fact that the association of books with software and on-line material is radically changing the teaching methods of the control discipline. Despite its interactive character, computer-aided control design software requires the understanding of a number of concepts in order to be used efficiently. The use of software for illustrating the various concepts and algorithms helps understanding and rapidly gives a feeling of the various phenomena.
Designed to make the material easy to understand, this clear and thorough book emphasizes the practical application of systems engineering to the design and analysis of feedback systems. Nise applies control systems theory and concepts to current real-world problems, showing readers how to build control systems that can support today's advanced technology.