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Modeling and Adaptive Nonlinear Control of Electric Motors by Farshad Khorrami (

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ISBN-13
9783642056673
Book Title
Modeling and Adaptive Nonlinear Control of Electric Motors
ISBN
9783642056673
Publication Year
2010
Series
Power Systems Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Publication Name
Modeling and Adaptive Nonlinear Control of Electric Motors
Author
Farshad Khorrami, Hemant Melkote, Prashanth Krishnamurthy
Item Length
9.3in
Publisher
Springer Berlin / Heidelberg
Item Width
6.1in
Item Weight
29.1 Oz
Number of Pages
X, 528 Pages

關於產品

Product Information

This research monograph considers modelling and control design of electric motors, namely step motors, brushless DC motors and induction motors. The book reports new global robust adaptive designs for motors and provides new tools for control designs, with an emphasis on stepper motors.

Product Identifiers

Publisher
Springer Berlin / Heidelberg
ISBN-10
3642056679
ISBN-13
9783642056673
eBay Product ID (ePID)
109058973

Product Key Features

Author
Farshad Khorrami, Hemant Melkote, Prashanth Krishnamurthy
Publication Name
Modeling and Adaptive Nonlinear Control of Electric Motors
Format
Trade Paperback
Language
English
Publication Year
2010
Series
Power Systems Ser.
Type
Textbook
Number of Pages
X, 528 Pages

Dimensions

Item Length
9.3in
Item Width
6.1in
Item Weight
29.1 Oz

Additional Product Features

Number of Volumes
1 Vol.
Lc Classification Number
Tk1001-1841
Reviews
ME MAGAZINE "The focus here is on recent advances in 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 amenable to model-based nonlinear designs. The control designs concentrate mainly on recent robust adaptive nonlinear controllers to attain high performance. It seeks to show that the adaptive robust nonlinear controller on its own archives a reasonably good performance without requiring exact knowledge of motor parameters.", ME MAGAZINE"The focus here is on recent advances in 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 amenable to model-based nonlinear designs. The control designs concentrate mainly on recent robust adaptive nonlinear controllers to attain high performance. It seeks to show that the adaptive robust nonlinear controller on its own archives a reasonably good performance without requiring exact knowledge of motor parameters."
Table of Content
1 Introduction.- 2 Dual-Axis Linear Stepper (Sawyer) Motors.- 3 Modeling of Stepper Motors.- 4 Stepping.- 5 Feedback Linearization and Application to Electric Motors.- 6 Robust Adaptive Control of a Class of Nonlinear Systems.- 7 Robust Adaptive Control of Stepper Motors.- 8 Current Control of Stepper Motors Using Position Measurements Only.- 9 Voltage Control of Stepper Motors Using Position and VelocityMeasurements.- 10 Voltage Control of PM Stepper Motors Using Position Measurement Only.- 11 Brushless DC Motors.- 12 Induction Motor: Modeling and Control.- 13 Adaptive Control of Induction Motors.- 14 Passivity-Based Control of Electric Motors.- 15 Torque Ripple Reduction for Step Motors.- 16 Friction Compensation in Servo-Drives.- A Fundamentals of AC Machines.- B.1 Case of Position-Only Dependent Transformations.- C Torque Maximization with Current and Voltage Constraints (Field Weakening).- C.1 Low-Speed Range.- C.2 High-Speed Range.- C.3 Intermediate-Speed Range.- C.4 Transition Speeds.- D Stable System Inversion.- E Lyapunov Stability Theorems.- F Backstepping.- G Input-to-State Stability and Nonlinear Small Gain.
Copyright Date
2003
Topic
Power Resources / Electrical, Electrical
Dewey Decimal
621.46
Intended Audience
Scholarly & Professional
Dewey Edition
21
Illustrated
Yes
Genre
Technology & Engineering, Non-Classifiable

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