Intelligent Backstepping Control For The Alternating Current Drive Systems


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Intelligent Backstepping Control for the Alternating-Current Drive Systems


Intelligent Backstepping Control for the Alternating-Current Drive Systems

Author: Jinpeng Yu

language: en

Publisher: Springer Nature

Release Date: 2021-02-13


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This book focuses on the intelligent control design for both the induction motor (IM) and the permanent magnet synchronous motor (PMSM). Compared with traditional control schemes, such as the field-oriented control (FOC) and the direct torque control (DTC), the intelligent controllers designed in this book could overcome the influence of parameter uncertainty and load torque disturbance. This book is a research monograph, which provides valuable reference material for researchers who wish to explore the area of AC motor. In addition, the main contents of the book are also suitable for a one-semester graduate course.

Artificial-Intelligence-based Electrical Machines and Drives


Artificial-Intelligence-based Electrical Machines and Drives

Author: Peter Vas

language: en

Publisher: Oxford University Press

Release Date: 1999-01-28


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Recently, AI techniques have received increased attention world-wide and at present 2 industrial drives incorporate some form of AI. This is the first comprehensive book which discusses numerous AI applications to electrical machines and drives.

Advanced Sliding Mode Control for Mechanical Systems


Advanced Sliding Mode Control for Mechanical Systems

Author: Jinkun Liu

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-09-07


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"Advanced Sliding Mode Control for Mechanical Systems: Design, Analysis and MATLAB Simulation" takes readers through the basic concepts, covering the most recent research in sliding mode control. The book is written from the perspective of practical engineering and examines numerous classical sliding mode controllers, including continuous time sliding mode control, discrete time sliding mode control, fuzzy sliding mode control, neural sliding mode control, backstepping sliding mode control, dynamic sliding mode control, sliding mode control based on observer, terminal sliding mode control, sliding mode control for robot manipulators, and sliding mode control for aircraft. This book is intended for engineers and researchers working in the field of control. Dr. Jinkun Liu works at Beijing University of Aeronautics and Astronautics and Dr. Xinhua Wang works at the National University of Singapore.