Zhu Z Parameter Estimation of Permanent Magnet Synchronous Machines 2025
General:
Name: Zhu Z Parameter Estimation of Permanent Magnet Synchronous Machines 2025
Format: pdf
Size: 12.7 MB
Book:
Title: Parameter Estimation of Permanent Magnet Synchronous Machines
Author: Zi Qiang Zhu, Kan Liu, Dawei Liang
Language: polski
Year: 2025
Subjects: Science & Technology, Engineering, Electrical & Electronic Engineering, Electronics – General & Miscellaneous
Publisher: Wiley
ISBN: 9781394280438
Total pages: 291
Description:
Comprehensive reference delivering basic principles and state-of-the-art parameter estimation techniques for permanent magnet synchronous machines (PMSMs) Parameter Estimation of Permanent Magnet Synchronous Machines reviews estimation techniques of the parameters of PMSMs, introducing basic models and techniques, as well as issues and solutions in parameter estimation challenges, including rank deficiency, inverter nonlinearity, and magnetic saturation. This book is supported by theories, experiments, and simulation examples for each technique covered.
Topics explored in this book include:
- Electrical and mechanical parameter estimation techniques, including those based on current/voltage injection and position offset injection, under constant or variable speed and load for sensored or sensorless controlled PMSMs, accounting for magnetic saturation, cross-coupling, inverter nonlinearity, temperature effects, and more
- Recursive least squares, the Kalman filter, model reference adaptive systems, Adaline neural networks, gradient-based methods, particle swarm optimization, and genetic algorithms
- Applications of parameter estimation techniques for improvement of control performance, sensorless control, thermal condition monitoring, and fault diagnosis
This book is an essential reference for professionals working on the control and design of electrical machines, researchers studying electric vehicles, wind power generators, aerospace, industrial drives, automation systems, robots, and domestic appliances, as well as advanced undergraduate and graduate students in related programs of study.
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