ISBN: 9783540009368 - modeling and adaptive nonlinear control of electric motors (power systems) (4 Ergebnisse)

Zustand: Very Good. Very Good; Hardcover; Very light wear to the covers; Unblemished textblock edges; Handwriting to the first endpaper, otherwise the endpapers and all text pages are clean and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Red and blue covers with title in white lettering; 2003, Springer-Verlag Publishing; 528 pages; "Modeling and Adaptive Nonlinear Control of Electric Motors (Power Systems)," by Farshad Khorrami, et al.…

Zustand: Very Good. Very Good++; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Red and blue covers with title in white lettering; 2003, Springer-Verlag Publishing; 528 pages; "Modeling and Adaptive Nonlinear Control of Electric Motors (Power Systems)," by Farshad Khorrami, et al.…

Zustand: New. In English.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, modeling and control design of electric motors, namely step motors, brushless DC motors and induction motors, are considered. The book focuses on recent advances on feedback control designs for various types of electric motors, with a slight emphasis on stepper motors. For this purpose, the authors explore modeling of these devices to the extent needed to provide a high-performance controller, but at the same time one amenable to model-based nonlinear designs. The control designs focus primarily on recent robust adaptive nonlinear controllers to attain high performance. It is shown that the adaptive robust nonlinear controller on its own achievesreasonably good performance without requiring the exact knowledge of motor parameters. While carefully tuned classical controllers often achieve required performance in many applications, it is hoped that the advocated robust and adaptive designs will lead to standard universal controllers with minimal need for fine tuning of control parameters.…