Power Converters and AC Electrical Drives with Linear Neural Networks (Hardcover)

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in identification, discusses control of electrical drives and power converters, and examines improvements that can be attained when using linear neural networks.

The book integrates power electronics and electrical drives with artificial neural networks (ANN). Organized into four parts, it first deals with voltage source inverters and their control. It then covers AC electrical drive control, focusing on induction and permanent magnet synchronous motor drives. The third part examines theoretical aspects of linear neural networks, particularly the neural EXIN family. The fourth part highlights original applications in electrical drives and power quality, ranging from neural-based parameter estimation and sensorless control to distributed generation systems from renewable sources and active power filters. Simulation and experimental results are provided to validate the theories.

Written by experts in the field, this state-of-the-art book requires basic knowledge of electrical machines and power electronics, as well as some familiarity with control systems, signal processing, linear algebra, and numerical analysis. Offering multiple paths through the material, the text is suitable for undergraduate and postgraduate students, theoreticians, practicing engineers, and researchers involved in applications of ANNs.

這本《Power Converters and AC Electrical Drives with Linear Neural Networks》是第一本以其類型為特色的書籍，系統地探討了神經網絡在電力電子領域的應用，特別強調了交流驅動器的無感測控制。它介紹了基於空間向量的傳統理論在識別中的應用，討論了電氣驅動器和功率轉換器的控制，並探討了使用線性神經網絡時可以達到的改進。

這本書將功率電子和電氣驅動器與人工神經網絡（ANN）相結合。分為四個部分，首先介紹了電壓源逆變器及其控制。然後涵蓋了交流電氣驅動器控制，重點關注感應電動機和永磁同步電動機驅動。第三部分探討了線性神經網絡的理論方面，特別是神經EXIN家族。第四部分突出了在電氣驅動器和電力質量方面的原創應用，從基於神經網絡的參數估計和無感測控制到可再生能源分散發電系統和有源電力濾波器。提供了模擬和實驗結果來驗證理論。

這本最新的專業書籍由該領域的專家撰寫，需要基本的電機和功率電子知識，以及對控制系統、信號處理、線性代數和數值分析有一定的了解。這本書提供了多條學習路徑，適合本科和研究生學生、理論家、實踐工程師和從事ANN應用的研究人員閱讀。