Erhältlich:
Nicht auf Lager
Buch (Hardcover): Fachbuch
Parameter Estimation of Permanent Magnet Synchronous Machines
Verlag:
John Wiley & Sons Unsere-Artikel-Nr.: P35926167
EAN: 9781394280421
Erhältlich:
Nicht auf Lager
Zustellung: Di, 20.10.2026
Versand: Kostenlos
-15.8 %
CHF 190.–
CHF 160.–
Beschreibung
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.
Spezifikationen
Sprache
- Englisch
Autor
- Dawei Liang
- Zi Qiang Zhu
- Kan Liu
Erscheinungsjahr
- 2025
Format
- Buch (Hardcover)
Anzahl Seiten
- 288