Description
Power Converters and AC Electrical Drives with Linear Neural Networks
Energy, Power Electronics, and Machines Series
Authors: Cirrincione Maurizio, Pucci Marcello, Vitale Gianpaolo
Language: EnglishSubjects for Power Converters and AC Electrical Drives with Linear...:
Keywords
Stator Current Space Vector; IEEE Trans; power converters; Rotor Flux Linkage; Pulse with modulation (PWM); Voltage Space Vector; Voltage source inverters (VSI); Stationary Reference Frame; Permanent Magnet Synchronous Machine; DC Link Voltage; power electronics; TLS Method; electrical drives; Stator Flux Linkage; active power filters; Voltage Vector; neural networks; Inverter Current; intelligent control; Nonlinear Loads; motor drives; Load Torque Steps; artificial intelligence; Rotor Flux; ANN; IM Drive; AI applications in power electronics and motor drives; Common Mode Emissions; artificial neural networks; Flux Model; power electronics and drives; DC Link; space-vector theory; Pi Controller; instantaneous power theory; Electromagnetic Torque; voltage-fed converters; Null Initial Conditions; PWM algorithms; Speed Estimation Error; voltage-oriented control; PWM Technique; power-oriented control; Flux Space Vector; power quality control; Shunt Active Power Filter; sensorless control; Harmonic Current; linear neural networks; EXIN family; simulation; experimental results; Marcello Pucci; Vitale Gianpaolo; Angelo Accetta; Giansalvo Cirrincione
Approximative price 117.69 €
In Print (Delivery period: 14 days).
Add to cart the book of Cirrincione Maurizio, Pucci Marcello, Vitale GianpaoloPublication date: 03-2017
· 17.8x25.4 cm · Paperback
Approximative price 293.12 €
In Print (Delivery period: 13 days).
Add to cart the book of Cirrincione Maurizio, Pucci Marcello, Vitale GianpaoloPublication date: 05-2012
662 p. · 17.8x25.4 cm · Hardback
Description
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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.
Review of Basic Concepts: Space-Vector Analysis. Part I Power Converters: Pulsewidth Modulation of Voltage Source Inverters. Power Quality. Part II Electrical Drives: Dynamic and Steady-State Models of the Induction Machine. Control Techniques of Induction Machine Drives. Sensorless Control of Induction Machine Drives. Permanent Magnet Synchronous Motor Drives. Part III Neural Based Orthogonal Regression: Neural-Based Orthogonal Regression. Part IV Selected Applications: Least Square and Neural Identification of Electrical Machines. Neural-Enhanced Single-Phase DG Systems with APF Capability. Neural Sensorless Control of AC Drives. Index.
Maurizio Cirrincione, PhD, is a full professor of control and signal processing at the University of Technology of Belfort, Montbeliard, France. His current research interests include neural networks, modeling and control, system identification, intelligent control, and electrical machines and drives.
Marcello Pucci, PhD, is a senior researcher at the Institute of Intelligent Systems for Automation (ISSIA) section of Palermo of the National Research Council of Italy (CNR). His current research interests include electrical machines and drives, power converters, wind and photovoltaic generation systems, intelligent control, and neural networks applications.
Gianpaolo Vitale is a senior researcher at the Institute of Intelligent Systems for Automation (ISSIA) section of Palermo of the National Research Council of Italy (CNR). He has been professor of power electronics and applied electronics at the University of Palermo, Italy. His current research interests include power electronics, generation from renewables, and related problems of electromagnetic compatibility.