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Modeling and Adaptive Nonlinear Control of Electric Motors (Power Systems)
 
 
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Modeling and Adaptive Nonlinear Control of Electric Motors (Power Systems) [Hardcover]

Farshad Khorrami (Author), Prashanth Krishnamurthy (Author), Hemant Melkote (Author)

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Book Description

3540009361 978-3540009368 August 5, 2003 1
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.

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Editorial Reviews

Review

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."

From the Back Cover

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 achieves reasonably 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.

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
stability analysis, algebraic riccati equation, set point tracking case, asymptotic torque tracking, robust adaptive output feedback controller, discrete current values, electromechanical system parameters, flux magnitude tracking, peak tracking error, strict matching condition, global asymptotic regulation, control input transformation, current tracking error dynamics, virtual control law, stator current measurements, desired torque trajectory, output feedback canonical form, acceleration ripple, global uniform boundedness, positive design parameters, cogging force, torque ripple reduction, commutation scheme, commutation strategy, sinusoidal flux distribution
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Parameter Value Units, Consider the Lyapunov, Simulation Results, Lund Gren, Defining the Lyapunov
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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