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With an emphasis on real-life experimentation, this book introduces the principles of operation and the implementation of controllers for induction motor drives through both simulation and experimental results. The book deals with some common and important topics associated with induction motor drives, and it introduces basic types of controllers by implementing them in actual experimentation. The goal of the text is to help the user test a controller for induction motor drives using a SimulinkA(R) model (provided on the booka (TM)s accompanying CD-ROM), then quickly develop a prototype and validate the simulation results through experimentation with the prototype. The accompanying CD also includes MATLABA(R) models.
List of contents
Introduction. Induction Motor Modeling. Development of Machine Model in MATLAB/SIMULlNK. Development of Experimental Prototype. Scalar Control. Vector Control (Direct & Indirect). Efficiency Optimization Control. Sensorless Control. References. Appendix.
About the author
Chandan Chakraborty and Suman Maiti are with the Indian Institute of Technology in Kharagpur.
Summary
More than 50% of electrical energy produced is consumed by the motors. Of these, the induction motors have the largest share. These motors are used in fans, blowers, machine tools, rolling mills, locomotives etc. The book explains how the induction machine (IM) can be modeled in different reference frames, emphasizing the change in the model and the advantage of studying the dynamics in each reference-frame. Scalar control to vector control of different types are worked through step-by-step, and efficiency optimization control and speed sensorless control are also covered. A full chapter is devoted to system development using dSAPCE 1104. Each chapter includes carefully selected references for further studies, and the reader can cross-reference any new material by carrying out a corresponding simulation in Simulink®. The goal of the text is to help the user test a controller for induction motor drives using a Simulink® model, then quickly develop a prototype and validate the simulation results through experimentation with the prototype.
