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Intelligent Control Applied to Motor Drives

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Intelligent Control Applied to Motor Drives

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    1. Intelligent Control Applied to Motor Drives Reference: 1. Selected technical papers. 2. Modern Power Electronics and AC Drives, B. K. Bose, Prentice Hall, 2002. (Text Book). 3. Fuzzy Logic, K. V. Passino, S. Yurkovich, Addison-Wesley, 1997. (Text Book). For further reading: 4. Modern Control Engineering, K. Ogata, Prentice Hall, 1997, 3rd Edition (or latter). 5. Digital Control of Dynamic Systems, G.F. Franklin, J.D. Powell, M.L. Workman, Addison-Wesley, 1990. 6. Design of Brushless Permanent-Magnet Motors, J. R. Hendershot Jr., T. J. E. Miller, Oxford University Press, 1995. 7. Switched Reluctance Motor Drives, R. Krishnan, CRC Press LLC, 2001. Course Description The course will provide the main techniques on artificial intelligent control and its applications. After the course, students are able to apply the intelligent control techniques to deal with typical problems of various motor drives, from DC to SRM drives. Overview on Conventional Control Theory Linear vs. Non-linear control Control and Estimation: a dual problem Fuzzy Logic Control Fuzzy Logic Estimation Artificial Neural Network Artificial Genetic Algorithms DC Motor Drives: Fuzzy logic control of speed Control and Estimation of Induction Motor Drives: Fuzzy logic control of speed Fuzzy Logic Model Reference Adaptive Control of speed Fuzzy logic estimation of rotor resistance Efficiency-optimization control using neural networks Fuzzy logic control of PM Motor Drives Fuzzy logic control of Brushless DC Motor Drives Control Switched Reluctance Motor Drives: Fuzzy logic control for reducing torque ripple Intended Audience: Scientists and engineers, with basic knowledge on Control Theory, Artificial Intelligence, Electric Machines and Power Electronics.

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