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PART I: DC MACHINES, CONTROLS AND MAGNETICS. <p>1. The Physics of the DC Motor.</p> <p>2.Feedback Control.</p> <p>3. Magnetic Fields and Materials.</p> <p>PART II: AC MACHINE THEORY.</p> <p>4. Rotating Magnetic Fields.</p> <p>5. The Physics of AC Machines.</p> <p>6. Mathematical Models of AC Machines.</p> <p>7. Symmetric Balanced Three-Phase AC Machines.</p> <p>8. Induction Motor Control.</p> <p>9. PM Synchronous Motor Control.</p> <p>10. Trapezoidal Back-Emf PM Synchronous Motors (BLDC).</p> <p>Appendix: Trigonometric Table and Identities.</p> <p>References.</p> <p>Index.</p>

JOHN CHIASSON, PhD, is on the faculty of the Department of Electrical and Computer Engineering at Boise State University in Boise Idaho. His research interests include the areas of power electronics and the control of electrical machines.

Learn the modeling and control of electric machines <p>This textbook introduces the reader to both the modeling and control of electric machines. The direct current (DC) machine and the alternating current (AC) machines (induction, PM synchronous, and BLDC) are all covered in detail. The author emphasizes control techniques used for high-performance applications, specifically ones that require both rapid and precise control of position, speed, or torque. The reader discovers how to derive mathematical models of the machines based on the elementary physics of electricity and magnetism, and how the resulting models can be used to design control algorithms that achieve high performance.</p> <p>Modeling and High-Performance Control of Electric Machines takes a unique approach by including special features, such as:</p> <ul> <li>Emphasis on elementary electricity and magnetism to make detailed derivations of the mathematical models of machines</li> <li>Figures drawn in perspective to illustrate the geometric layout of machines</li> <li>Application of mathematical models of machines in state-space form to develop high-performance control algorithms.</li> <li>The connection between space vector and state-space models</li> <li>Use of modern systems theory in the form of state feedback, state observers, least-squares parameter identification, and input-output linearization as applied to the control of electric machines</li> <li>Includes end-of-chapter problems sets, references, and appendices</li> <li>A solutions manual is available on an accompanying ftp site along with the Simulink® files for all simulation problem</li> </ul> <p>Graduate students studying power and control will gain a sophisticated understanding of how electric machines operate and how they are mathematically modeled and controlled. Practicing engineers within industry will find this a highly readable text on the operation, modeling, and control of electric machines.</p>

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