Applied Intelligent Control of Induction Motor Drives (Hardcover)
暫譯: 感應電動機驅動的應用智能控制 (精裝版)
Tze Fun Chan, Keli Shi
- 出版商: Wiley
- 出版日期: 2011-04-20
- 定價: $4,980
- 售價: 9.5 折 $4,731
- 語言: 英文
- 頁數: 432
- 裝訂: Hardcover
- ISBN: 0470825561
- ISBN-13: 9780470825563
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相關分類:
人工智慧、控制系統 Control-systems、電機學 Electric-machinery
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商品描述
This book aims to explore new areas of induction motor control based on artificial intelligence (AI) techniques in order to make the controller less sensitive to parameter changes. Selected AI techniques are applied for different induction motor control strategies. The book presents a practical computer simulation model of the induction motor that could be used for studying various induction motor drive operations. The control strategies explored include expert-system-based acceleration control, hybrid-fuzzy/PI two-stage control, neural-network-based direct self control, and genetic algorithm based extended Kalman filter for rotor speed estimation. There are also chapters on neural-network-based parameter estimation, genetic-algorithm-based optimized random PWM strategy, and experimental investigations. A chapter is provided as a primer for readers to get started with simulation studies on various AI techniques.
- Presents major artificial intelligence techniques to induction motor drives
- Uses a practical simulation approach to get interested readers started on drive development
- Authored by experienced scientists with over 20 years of experience in the field
- Provides numerous examples and the latest research results
- Simulation programs available from the book's Companion Website
This book will be invaluable to graduate students and research engineers who specialize in electric motor drives, electric vehicles, and electric ship propulsion. Graduate students in intelligent control, applied electric motion, and energy, as well as engineers in industrial electronics, automation, and electrical transportation, will also find this book helpful.
Simulation materials available for download at www.wiley.com/go/chanmotor
商品描述(中文翻譯)
感應電動機是工業中最重要的工作馬達。當從固定頻率的電壓源供電時,它們主要用作恆速驅動。然而,先進的電力電子轉換器和強大的數位信號處理器的出現,使得高性能、可調速的交流電動機驅動系統的發展成為可能。
本書旨在探索基於人工智慧(AI)技術的感應電動機控制的新領域,以使控制器對參數變化的敏感度降低。選定的AI技術應用於不同的感應電動機控制策略。本書提供了一個實用的感應電動機電腦模擬模型,可用於研究各種感應電動機驅動操作。探討的控制策略包括基於專家系統的加速控制、混合模糊/PI兩階段控制、基於神經網絡的直接自我控制,以及基於遺傳算法的擴展卡爾曼濾波器用於轉子速度估計。還有關於基於神經網絡的參數估計、基於遺傳算法的優化隨機PWM策略和實驗研究的章節。書中還提供了一章作為入門,幫助讀者開始進行各種AI技術的模擬研究。
- 提出主要的人工智慧技術應用於感應電動機驅動
- 使用實用的模擬方法讓有興趣的讀者開始驅動開發
- 由在該領域擁有超過20年經驗的科學家撰寫
- 提供大量範例和最新的研究成果
- 模擬程式可從本書的伴隨網站下載
本書對於專注於電動機驅動系統的研究生和研究工程師將是非常寶貴的資源。專注於智能控制、應用電動運動和能源的研究生,以及工業電子、自動化和電氣運輸的工程師,也會發現本書對他們有幫助。
模擬材料可在 www.wiley.com/go/chanmotor 下載。