Nonlinear Industrial Control Systems (PDF)
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Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses feedforward and feedback control and tracking control systems design. The plant models and design algorithms are provided in a MATLAB® toolbox (downloadable from www.springer.com/978-1-4471-7455-4) that enable both academic examples and industrial application studies to be repeated and evaluated, taking into account practical application and implementation problems.
The text makes nonlinear control theory accessible to readers having only a background in linear systems, and concentrates on real applications of nonlinear control. It covers:
- different ways of modelling nonlinear systems including state space, polynomial-based, linear parameter varying, state-dependent and hybrid;
- design techniques for nonlinear optimal control including generalised-minimum-variance, model predictive control, quadratic-Gaussian, factorised and H8 design methods;
- design philosophies that are suitable for aerospace, automotive, marine, process-control, energy systems, robotics, servo systems and manufacturing;
- steps in design procedures that are illustrated in design studies to define cost-functions and cope with problems such as disturbance rejection, uncertainties and integral wind-up; and
- baseline non-optimal control techniques such as nonlinear Smith predictors, feedback linearization, sliding mode control and nonlinear PID.
Nonlinear Industrial Control Systems is valuable to engineers in industry dealing with actual nonlinear systems. It provides students with a comprehensive range of techniques and examples for solving real nonlinear control design problems.
He is the Technical Director of Industrial Systems and Control Ltd., a company he began with University support more than 30 years ago. He is a founder and a past Chairman of the UKRI Chapter of the IEEE Control Systems Society, has contributed to numerous IEEE and IFAC committees, and chaired their conferences. He is the Managing Editor of the following journals published by Wiley: International Journal of Robust and Nonlinear Control, International Journal of Adaptive Control & Signal Processing, Journal of Optimal Control Applications and Methods and the new journal on Advanced Control Applications: Engineering and Industrial Systems. He was the editor of the Prentice Hall International Series in Systems and Control Engineering. He is currently a joint editor of the Springer monograph series Advances in Industrial Control and of the Springer text book series on Advanced Textbooks on Control and Signal Processing.
The Institution of Electrical Engineers presented him with the Heaviside Premium in 1978 for his papers on control engineering. The following year, 1979, he was awarded jointly the Coopers Hill War Memorial Prize
Dr Pawel Majecki is a Senior Consultant at Industrial System and Control Ltd. (ISC Ltd) since September 2011. Pawel was born in Zabrze, Poland in 1978. He graduated from Silesian University of Technology, Gliwice, Poland in 2002 with a MEng (Hons) in Automatic Control and Robotics and the PhD degree in Electronic and Electrical Engineering from the University of Strathclyde in Glasgow, UK in 2006.
He worked as a Research Fellow at the Industrial Control Centre of the University of Strathclyde on non-linear control algorithms design. He was involved in a project concerned with optimizing petrochemical and process plant outputs using new performance assessment and benchmarking tools.
In the past, he was also employed on the project CHEOPS (Cryogenic Helium for Optimized System), working on the modeling, simulation and control of cryogenic refrigeration systems. The position was funded by CNRS (Centre National de Recherche Scientifique) and involved cooperation between GIPSA-lab at INP Grenoble and the Institute of Nanosciences and Cryogenics at CEA, Grenoble, where the real system was located.
In the current position of a technical consultant in the ISC, he has worked on control modeling and design projects for automotive, wind energy and marine sectors. He is also involved in preparing and delivering training courses on various aspects of control theory, estimation, system identificationand optimization.
- Autoren: Michael J. Grimble , Pawel Majecki
- 2020, 1st ed. 2020, 764 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1447174577
- ISBN-13: 9781447174578
- Erscheinungsdatum: 19.05.2020
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 25 MB
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