Verwandte Artikel zu Fault-Tolerant Process Control: Methods and Applications

Fault-Tolerant Process Control: Methods and Applications - Hardcover

Mhaskar, Prashant; Liu, Jinfeng; Christofides, Panagiotis D.

 
9781447148074: Fault-Tolerant Process Control: Methods and Applications

Inhaltsangabe

Fault-Tolerant Process Control focuses on the development of general, yet practical, methods for the design of advanced fault-tolerant control systems; these ensure an efficient fault detection and a timely response to enhance fault recovery, prevent faults from propagating or developing into total failures, and reduce the risk of safety hazards. To this end, methods are presented for the design of advanced fault-tolerant control systems for chemical processes which explicitly deal with actuator/controller failures and sensor faults and data losses. Specifically, the book puts forward:

· A framework for  detection, isolation and diagnosis of actuator and sensor faults for nonlinear systems;

· Controller reconfiguration and safe-parking-based fault-handling methodologies;

· Integrated-data- and model-based fault-detection and isolation and fault-tolerant control methods;

· Methods for handling sensor faults and data losses; and

· Methods for monitoring the performance of low-level PID loops.

The methodologies proposed employ nonlinear systems analysis, Lyapunov techniques, optimization, statistical methods and hybrid systems theory and are predicated upon the idea of integrating fault-detection, local feedback control, and supervisory control. The applicability and performance of the methods are demonstrated through a number of chemical process examples. Fault-Tolerant Process Control is a valuable resource for academic researchers, industrial practitioners as well as graduate students pursuing research in this area.

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Über die Autorin bzw. den Autor

Prashant Mhaskar received the B. Tech degree in Chemical Engineering from the Indian Institute of Technology, Bombay in May 1999, the MS degree in Chemical Engineering from Louisiana State University in May, 2001 and the Ph. D. degree in Chemical Engineering from the University of California, Los Angeles in 2005. He joined the Department of Chemical Engineering at McMaster University in 2005 as an Assistant Professor, where he is currently Professor. His research interests include nonlinear model predictive control and fault tolerant control, control of hybrid systems and batch process modeling and control. Research results from Dr. Mhaskar have resulted in over 73 refereed articles in leading scientific journals and a book on ``Fault-Tolerant Process Control: Methods and Applications,'' (Springer-Verlag, London, England, 2013.) Prashant Mhaskar is a recipient of the UCLA Dissertation Year Fellowship for the academic year 2004-2005, several Best Presentation in Session Awards at the American Control Conferences, Outstanding Ph.D. in Chemical Engineering Award, had two papers selected for the Computing and Systems Technology Division Plenary Session at the AIChE meetings in 2004 and 2012, and currently holds the Canada Research Chair in Nonlinear and Fault-Tolerant Control (2016-2021). He has organized several invited sessions at the American Control Conference, co-edited a special issue of Journal of Process Control on Energy Efficient Buildings and a special issue of Computers and Chemical Engineering on Control of Complex and Networked process systems, and is currently an Associate Editor for IEEE Transactions on Control Systems Technology and Automatica.
Abhinav Garg received the B. Tech degree in Electronics and Instrumentation Engineering from Uttar Pradesh Technical University in June 2011, the Masters of Science by Research degree in Chemical Engineering from Indian Institute of Technology Madras in December, 2013 and Ph.D in Chemical Engineering from McMaster University in August 2018. His research interests include system identification, time-frequency analysis, causality analysis and process monitoring, control and optimization. His research has resulted in several peer-reviewed journal and conference articles.
Brandon Corbett received the B. Eng degree in Chemical Engineering from McMaster University in June 2011 and the Ph.D. degree in Chemical Engineering from McMaster University in September 2016. In 2017, he completed an industrial postdoctoral fellowship with Professor John F. MacGregor. Dr. Corbett's research interests focus on data-driven modeling. He has publications in data-driven dynamic modeling, particularly for batch processes, and data-driven modeling of product development data.

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Fault-Tolerant Process Control focuses on the development of general, yet practical, methods for the design of advanced fault-tolerant control systems; these ensure an efficient fault detection and a timely response to enhance fault recovery, prevent faults from propagating or developing into total failures, and reduce the risk of safety hazards. To this end, methods are presented for the design of advanced fault-tolerant control systems for chemical processes which explicitly deal with actuator/controller failures and sensor faults and data losses. Specifically, the book puts forward:

· a framework for detection, isolation and diagnosis of actuator and sensor faults for nonlinear systems;

· controller reconfiguration and safe-parking-based fault-handling methodologies;

· integrated-data- and model-based fault-detection and isolation and fault-tolerant control methods;

· methods for handling sensor faults and data losses; and

· methods for monitoring the performance of low-level PIDloops.

The methodologies proposed employ nonlinear systems analysis, Lyapunov techniques, optimization, statistical methods and hybrid systems theory and are predicated upon the idea of integrating fault-detection, local feedback control, and supervisory control. The applicability and performance of the methods are demonstrated through a number of chemical process examples.

Fault-Tolerant Process Control is a valuable resource for academic researchers, industrial practitioners as well as graduate students pursuing research in this area.

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