Variable structure systems, or sliding mode control systems, are non-linear automatic control systems whose structures are deliberately allowed to change, so that robust performance is obtained. It allows the design of high performance control systems that can be reliably and easily implemented at low cost. Although the basic theory is mature, the theory and the associated control system design methodologies are less well known to many control engineers. This new text seeks to redress the gap, and is split into three parts: the basics of sliding mode control, new trends in sliding mode control and applications of sliding mode control.
The book will be of interest to all engineers working with control systems. Mathematical and engineering concepts are discussed thoroughly and many numerical design examples are included so that readers can quickly understand the design methodologies and their application to practical problems.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 27 mm
Gewicht
ISBN-13
978-0-86341-350-6 (9780863413506)
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 Klassifikation
Asif Sabanovic is a Full Professor at Sabanci University, Istanbul. Between 1970 and 1991 he worked at the Energoinvest-Institute for Control and Computer Sciences, Sarajevo. His fields of interest include control systems, motion control, robotics, mechatronics and power electronics.
Leonid M. Fridman has more than 20 years experience working in the field of variable structure systems in Universities both in Russia and Mexico. He is now a Professor of Engineering at the National Autonomous University of Mexico (UNAM).
Sarah Spurgeon is a Professor in the Control and Instrumentation Group at the University of Leicester, UK. Her fields of interest include the theory and application of sliding mode based control and estimation techniques.
Part I: Sliding mode control theory
Chapter 1: Sliding mode control
Chapter 2: Sliding mode regulator design
Chapter 3: Deterministic output noise effects in sliding mode observation
Chapter 4: Stochastic output noise effects in sliding mode observation
Part II: New trends in sliding mode control
Chapter 5: Discrete-time VSS
Chapter 6: Robustness issues of 2-sliding mode control
Chapter 7: Sliding modes, delta-modulation and output feedback control of dynamic systems
Chapter 8: Analysis of sliding modes in the frequency domain
Chapter 9: Output tracking in causal nonminimum-phase systems using sliding modes
Part III: Applications of sliding mode control
Chapter 10: Sliding mode control and chaos
Chapter 11: Sliding modes in fuzzy and neural network systems
Chapter 12: SMC applications in power electronics
Chapter 13: Sliding modes in motion control systems
Chapter 14: Sliding mode control for automobile applications
Chapter 15: The application of sliding mode control algorithms to a diesel generator set
Chapter 16: Motion control of underwater objects by using second order sliding mode techniques
Chapter 17: Semiglobal stabilisation of linear uncertain system via delayed relay control
