Vector control for loss minimization of induction motor using GA-PSO

Authors:
Dong Hwa Kim;Kaoro Hirota
Affiliations:
Department of Instrumentation and Control Engineering, Hanbat National University, 16-1 San Duckmyong-Dong Yuseong-Gu, Daejeon City, 305-719, Republic of Korea;Department of C.I. & S.S., Tokyo Institute of Technology G3-49, 4259 Nagatsuta, Midori-ku, Yokohama-city, 226-8502, Japan
Venue:
Applied Soft Computing
Year:
2008

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Abstract

This paper deals with the GA-PSO (genetic algorithm-particle swarm optimization) based vector control for loss minimization operation of induction motor. It is estimated that more than around 50% of the world electric energy generated is consumed by electric machines such as induction motor, dc motor. So, improving efficiency in electric drives is important and control strategy for minimum energy loss is needed as one of optimal operation strategies. The vector control of induction motor has been widely used to operate in a wide speed range by using flux weakening at rated speed. However, it is still necessary to advance because of coupling is behavior between fluxes in motor. In this paper, vector control approach is suggested for an optimal operation of induction motor using variable acceleration and GA-PSO tuning method through simulation. We can obtain satisfactory results for energy saving control.