Recent Trends in Sliding Mode Control
Published on 28. April 2016
Book
Hardback
440 pages
978-1-78561-076-9 (ISBN)
Description
In control theory, sliding mode control, or SMC, is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to 'slide' along a cross-section of the system's normal behaviour. This book describes recent advances in the theory, properties, methods and applications of SMC.
The book is organised into four parts. The first part is devoted to the design of higher-order sliding-mode controllers, with specific designs presented in the context of disturbance rejection by means of observation and identification. The second part offers a set of tools for establishing different dynamic properties of systems with discontinuous right-hand sides. Time discretization is addressed in the third part. First-order sliding modes are discretized using an implicit scheme - higher-order sliding-mode differentiators, typically used in output-feedback schemes, are discretized in such a way that the optimal accuracy of their continuous-time counterparts is restored.
The last part is dedicated to applications. In the context of energy conversion, sliding-mode control is applied to variable-speed wind turbines, fuel cell coupled to a power converter, rugged DC series motors and rectifiers with unity power factor, and electropneumatic actuator. Finally, an event-triggered sliding-mode scheme is proposed for networked control systems subject to packet loss, jitter and delayed transmissions.
The book is organised into four parts. The first part is devoted to the design of higher-order sliding-mode controllers, with specific designs presented in the context of disturbance rejection by means of observation and identification. The second part offers a set of tools for establishing different dynamic properties of systems with discontinuous right-hand sides. Time discretization is addressed in the third part. First-order sliding modes are discretized using an implicit scheme - higher-order sliding-mode differentiators, typically used in output-feedback schemes, are discretized in such a way that the optimal accuracy of their continuous-time counterparts is restored.
The last part is dedicated to applications. In the context of energy conversion, sliding-mode control is applied to variable-speed wind turbines, fuel cell coupled to a power converter, rugged DC series motors and rectifiers with unity power factor, and electropneumatic actuator. Finally, an event-triggered sliding-mode scheme is proposed for networked control systems subject to packet loss, jitter and delayed transmissions.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 28 mm
Weight
824 gr
ISBN-13
978-1-78561-076-9 (9781785610769)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Leonid Fridman received a Ph.D. degree in applied mathematics from the Institute of Control Science, Moscow, Russia, in 1988, and a Dr. Sc. degree in control science from Moscow State University of Mathematics and Electronics, Moscow, Russia, in 1998. Since 2002, he joined the Department of Control Engineering and Robotics, Division of Electrical Engineering of Engineering Faculty at National Autonomous University of Mexico (UNAM), Mexico. His research interests are Variable Structure Systems, and he is currently a Chair of TC on Variable Structure Systems and Sliding mode control of IEEE Control Systems Society, Associated Editor of the Journal of Franklin Institute, and Nonlinear Analysis: Hybrid Systems. He is an author and editor of eight books and fifteen special issues devoted to the sliding mode control. He is a winner of Scopus prize for the best cited Mexican Scientists in Mathematics and Engineering 2010.
Jean-Pierre Barbot is Professor at ENSEA Cergy-Pontoise, France. He is currently director of the Quartz Laboratory EA 7393 and member of EPI Non-A at INRIA. After his graduation from the Ecole Normale Superieure of Cachan, he received the Ph. D. degree in automatic control from the University of Paris XI (France) in 1989 and the HDR in 1997. His main research activities deal with sliding mode control and observation, system under sampling, hybrid system, delay system, synchronization of chaotic system, normal form and recently Compressive Sensing. His main application domains are electrical machine, power converter.
Franck Plestan received the Ph.D. in Automatic Control from the Ecole Centrale de Nantes, France, in 1995. From September 1996 to August 2000, he was with Louis Pasteur University, Strasbourg, France. In September 2000, he joined the Ecole Centrale de Nantes, Nantes, France where he is currently Professor. His research interests include robust nonlinear control (especially sliding mode) and observer design, with several fields of applications (electropneumatic actuators, flying systems, automotive).
Jean-Pierre Barbot is Professor at ENSEA Cergy-Pontoise, France. He is currently director of the Quartz Laboratory EA 7393 and member of EPI Non-A at INRIA. After his graduation from the Ecole Normale Superieure of Cachan, he received the Ph. D. degree in automatic control from the University of Paris XI (France) in 1989 and the HDR in 1997. His main research activities deal with sliding mode control and observation, system under sampling, hybrid system, delay system, synchronization of chaotic system, normal form and recently Compressive Sensing. His main application domains are electrical machine, power converter.
Franck Plestan received the Ph.D. in Automatic Control from the Ecole Centrale de Nantes, France, in 1995. From September 1996 to August 2000, he was with Louis Pasteur University, Strasbourg, France. In September 2000, he joined the Ecole Centrale de Nantes, Nantes, France where he is currently Professor. His research interests include robust nonlinear control (especially sliding mode) and observer design, with several fields of applications (electropneumatic actuators, flying systems, automotive).
Content
Part 1: Novel sliding mode algorithms
Chapter 1.1: Lyapunov approach to higher-order sliding mode design
Chapter 1.2: Sliding surface design for higher-order sliding modes
Chapter 1.3: Robust output control of systems subjected to perturbations via high-order sliding modes observation and identification
Chapter 1.4: Construction of Lyapunov functions for high-order sliding modes
Part 2: Properties of sliding mode algorithms
Chapter 2.1: Homogeneity of differential inclusions
Chapter 2.2: Minimax observer for sliding mode control design
Chapter 2.3: L
2-Gain analysis of sliding mode dynamics
Chapter 2.4: Analysis of transient motions in variable-structure systems through the dynamic harmonic balance principle
Part 3: Discretization of sliding-mode controllers
Chapter 3.1: On discretization of high-order sliding modes
Chapter 3.2: Experimental results on implicit and explicit time-discretization of equivalent control-based sliding mode control
Chapter 3.3: A generalized reaching law for discrete-time sliding mode
Part 4: Applications
Chapter 4.1: Conventional and adaptive second-order sliding mode control of a wind energy conversion system
Chapter 4.2: Sliding mode control of a fuel cell-based electric power system: multiple modular configurations
Chapter 4.3: Networked model-based event-triggered sliding mode control
Chapter 4.4: Step-by-step super-twisting observer for DC series motor in the presence of magnetic saturation
Chapter 4.5: Sliding mode control of LCL full-bridge rectifiers
Chapter 4.6: Adaptive solutions for robust control of electropneumatic actuators
Chapter 1.1: Lyapunov approach to higher-order sliding mode design
Chapter 1.2: Sliding surface design for higher-order sliding modes
Chapter 1.3: Robust output control of systems subjected to perturbations via high-order sliding modes observation and identification
Chapter 1.4: Construction of Lyapunov functions for high-order sliding modes
Part 2: Properties of sliding mode algorithms
Chapter 2.1: Homogeneity of differential inclusions
Chapter 2.2: Minimax observer for sliding mode control design
Chapter 2.3: L
2-Gain analysis of sliding mode dynamics
Chapter 2.4: Analysis of transient motions in variable-structure systems through the dynamic harmonic balance principle
Part 3: Discretization of sliding-mode controllers
Chapter 3.1: On discretization of high-order sliding modes
Chapter 3.2: Experimental results on implicit and explicit time-discretization of equivalent control-based sliding mode control
Chapter 3.3: A generalized reaching law for discrete-time sliding mode
Part 4: Applications
Chapter 4.1: Conventional and adaptive second-order sliding mode control of a wind energy conversion system
Chapter 4.2: Sliding mode control of a fuel cell-based electric power system: multiple modular configurations
Chapter 4.3: Networked model-based event-triggered sliding mode control
Chapter 4.4: Step-by-step super-twisting observer for DC series motor in the presence of magnetic saturation
Chapter 4.5: Sliding mode control of LCL full-bridge rectifiers
Chapter 4.6: Adaptive solutions for robust control of electropneumatic actuators