Power Converters and AC Electrical Drives with Linear Neural Networks by Maurizio Cirrincione, Marcello Pucci and Gianpaolo Vitale
Power Converters and AC Electrical Drives with Linear Neural Networks Download PDF
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Power Converters and AC Electrical Drives with Linear Neural Networks by Maurizio Cirrincione, Marcello Pucci and Gianpaolo Vitale
About Of The Book :
Power electronics and electrical drives are heavily characterized by a strong interdiscipli-
narity. A thorough knowledge of the field involves being proficient in
• Electrical machines
• Circuit theory
• Control system theory
• Signal processing system
• Electronics
• Electromagnetic fields
• Numerical analysis
• Solid-state physics
• Power plants
A recent trend for the development of these disciplines is the application of artificial intel-
ligence (AI) tools, such as expert systems (ES), artificial neural networks (ANN), fuzzy logic
systems (FLS), genetic algorithms (GA), and, more recently, multi-agent systems (MAS). These
tools have been proven to be able to boost the performance of these systems in real-world
and industrial applications thanks to features such as “learning,” “self-organization,” and
“self-adaptation.”
With particular regard to ANNs for nonlinear function approximation, in power elec-
tronics and electrical drives applications, they are used for control and identification, such
as the multilayer perceptron (MLP) or the radial basis function (RBF). Another kind of
neuron that has also been applied recently is linear neurons (ADALINE), whose simplicity
has given surprisingly good results.
On the other hand, the detailed unified mathematical treatment of space-vectors has
made it possible to embed the theory of linear neural networks, resulting in improve-
ments, both theoretical and experimental, of classical approaches in electrical drives and
power electronics. This standpoint is the goal of the book: to present in a systematic way
the classical theory based on space-vectors in identification, control of electrical drives and
of power converters, and the improvements that can be attained when using linear neural
networks.
With this outlook, this book is divided into four parts:
• Part I deals specifically with voltage source inverters (VSI) and their control.
• Part II deals with AC electrical drive control, with particular attention to induction
and permanent magnet synchronous motor drives.
• Part III deals with theoretical aspects of linear neural networks.
• Part IV deals with specific applications of linear neural networks to electrical
drives and power quality.
Contents Of The Book :
1. Review of Basic Concepts: Space-Vector Analysis
Part I Power Converters
1. Pulsewidth Modulation of Voltage Source Inverters
2. Power Quality
Part II Electrical Drives
1. Dynamic and Steady-State Models of the Induction Machine
2. Control Techniques of Induction Machine Drives
3. Sensorless Control of Induction Machine Drives
4. Permanent Magnet Synchronous Motor Drives
Part III Neural-Based Orthogonal Regression
1. Neural-Based Orthogonal Regression
Part IV Selected Applications
1. Least-Squares and Neural Identification of Electrical Machines
2. Neural-Enhanced Single-Phase DG Systems with APF Capability
3. Neural Sensorless Control of AC Drives
Information Of The Book :
File Name Of The Book : Power Converters and AC Electrical Drives with Linear Neural Networks
File Size : 24.49 MB
language : English
Page : 631
Format : PDF
Author : Maurizio Cirrincione, Marcello Pucci and Gianpaolo Vitale