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Titlebook: Intelligent Backstepping Control for the Alternating-Current Drive Systems; Jinpeng Yu,Peng Shi,Jiapeng Liu Book 2021 The Editor(s) (if ap

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发表于 2025-3-21 18:24:48 | 显示全部楼层 |阅读模式
书目名称Intelligent Backstepping Control for the Alternating-Current Drive Systems
编辑Jinpeng Yu,Peng Shi,Jiapeng Liu
视频video
概述Provides a design framework for intelligent control systems of the alternating current motors.Discusses problems of parameter uncertainties and load torque disturbances.Proves the Lyapunov stability o
丛书名称Studies in Systems, Decision and Control
图书封面Titlebook: Intelligent Backstepping Control for the Alternating-Current Drive Systems; Jinpeng Yu,Peng Shi,Jiapeng Liu Book 2021 The Editor(s) (if ap
描述.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. .
出版日期Book 2021
关键词Alternating Current Motors; Backstepping; Intelligent Control; Fuzzy Tracking Control; Magnet Synchronou
版次1
doihttps://doi.org/10.1007/978-3-030-67723-7
isbn_softcover978-3-030-67725-1
isbn_ebook978-3-030-67723-7Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 21:40:00 | 显示全部楼层
Position Tracking Control of IM via Adaptive Fuzzy Backsteppingrbance. Fuzzy logic systems are employed to approximate the nonlinear functions and an adaptive backstepping method is used to constitute controllers. The proposed adaptive fuzzy controllers ensure that the tracking error converges to a small neighborhood of the origin. Compared with the traditional
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Adaptive Fuzzy Control for IM Stochastic Nonlinear Systems Based on CFCsaturation of the IM drive system. Firstly, the fuzzy logic system (FLS) is employed to cope with the stochastic nonlinear functions in IM drive systems. Secondly, the adaptive backstepping method is used to design controllers and the quartic Lyapunov function is selected as the stochastic Lyapunov
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发表于 2025-3-22 15:37:57 | 显示全部楼层
Adaptive Fuzzy Dynamic Surface Control for IM with Iron Losseslectric vehicle drive systems in this chapter. The DSC is utilized to overcome the “explosion of complexity” issue of classical backstepping. The fuzzy systems are used to approximate unknown nonlinear functions and the adaptive backstepping is employed to design controllers. The proposed control me
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Adaptive Fuzzy Backstepping Position Tracking Control for PMSMressed. Fuzzy logic systems are used to approximate nonlinearities and adaptive backstepping technique is employed to structure controllers. The proposed adaptive fuzzy controllers guarantee that the tracking error converges to a small neighborhood of the origin. Compared with the conventional backs
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发表于 2025-3-23 02:14:35 | 显示全部楼层
Neural Networks-Based Adaptive DSC for PMSM with load torque disturbance and parameter uncertainties. First, neural networks are used to approximate the unknown nonlinear functions of PMSM drive system and a novel adaptive DSC is constructed to avoid the “explosion of complexity” problem existing in the traditional backstepping design. Next,
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发表于 2025-3-23 05:58:55 | 显示全部楼层
Discrete-Time Adaptive Position Tracking Control for IPMSMpproximation. The accurate approximate discrete-time IPMSM position tracking system model is derived by direct discretization using the Euler method. Fuzzy logic systems are used to approximate the nonlinearities of the discrete-time IPMSM drive system. Then a discrete-time fuzzy position tracking c
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