Identification of Power Plant Processes - Theory and Application
eBook (PDF), 164 Pages
The book presents non-standard approaches and algorithms for design, tuning, and modeling of power plant control systems in the environment of Matlab and its Toolboxes. The topic at hand is the identification of transfer functions of Single-Input Single-Output (SISO) - controlled processes, which may be described as dynamical links with self-regulating, or integrating, or differentiating properties. Within a framework of a single procedure, the nominal transfer function of the power process and the transfer functions uncertainties are identified, creating a basis for a robust approach. This textbook provides the necessary tools, guidance, and support for understanding and effective use of the modern methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a theoretical background for creating software for these purposes.
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Apr 21, 2016About the authors: Roland Kulessky received his Dr.Sc degree in Electrical Engineering from the Moscow Energy Institute. Since 1989 he is a full professor. In parallel he is a senior lecturer at the Technion (Israel Institute of Technology). Gregory Nudelman - M.S. degree in Control System Engineering. Since 1992 he is working as a controls engineer at the Haifa Power Station of the Israel Electric Corporation. This textbook provides the necessary tools, guidance, and support for understanding and effective use of the modern methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a basis for creating software (computer packages) for these purposes. The textbook is intended for students majoring in engineering, in their final year of undergraduate studies or the first year of graduate studies. It can also be useful for industrial audience, namely for engineers/designers of automatic control systems for industrial plants and... More > for field engineers, through assisting in the setup and maintenance procedures of such systems. Chapter 1 - Modeling and control in industrial practice. It is mainly dedicated to providing an introduction and to setting the framework within which the textbook presents its material. It deals with traditional approaches to identification problems of power plant processes and to design of their control systems. Chapter 2 - Frequency response identification and the noise influence problem. It is devoted to the presentation of both principles and detailed procedures for the frequency response identification of power processes as the first stage of the two-stage identification method. The presented methods and schemes are illustrated by examples of a 140MW power unit processes. Chapter 3 - Process transfer function (TF) identification based on frequency response (FR). It completes the study of the principles and algorithms for the two-stage identification procedure, namely the calculation of transfer functions of the process models including both the nominal transfer function and the transfer functions of uncertainties. The concepts covered in this Chapter are illustrated by examples of processes of 75MW, 140MW, and 350MW power units. Chapter 4 - PID-control loop tuning. It commences with an introduction and analysis of some of the most common methods of PID control optimization. The discussed topics are illustrated with examples of processes of a 140MW unit.< Less
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- Kulessky & Nudelman (Standard Copyright License)
- First Edition
- August 31, 2015
- File Format
- File Size
- 4.05 MB
- Product ID
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