Abstract: The paper presents a design methodology based on model predictive control (MPC) to assure deadbeat performance of both current and speed loops in vector-controlled induction motor drives. Two controllers are independently designed for both loops where the controller parameters are adapted to cope with load changes over a wide range of operation. The performance is compared to that of PI controllers designed based on particle swarm optimization (PSO) and adaptive neuro-fuzzy inference systems (ANFIS). The comparison study shows superior performance of the MPC design.
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WSEAS Transactions on Circuits and Systems, ISSN / E-ISSN: 1109-2734 / 2224-266X, Volume 14, 2015, Art. #35
Fawzan Salem, Mohamed A. Awadallah, Ehab H. E. Bayoumi, "Model Predictive Control for Deadbeat Performance of Induction Motor Drives," WSEAS Transactions on Circuits and Systems, vol. 14, pp. 303-311, 2015, DOI:
Fawzan Salem, Mohamed A. Awadallah, Ehab H. E. Bayoumi. Model Predictive Control for Deadbeat Performance of Induction Motor Drives.
WSEAS Transactions on Circuits and Systems. 2015;14:303-311.