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Multi-Objective Optimal Design of a NEMA Design D Three-phase Induction Machine Utilizing Gaussian-MOPSO Algorithm
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 Title & Authors
Multi-Objective Optimal Design of a NEMA Design D Three-phase Induction Machine Utilizing Gaussian-MOPSO Algorithm
Zhang, Dianhai; Ren, Ziyan; Koh, Chang-Seop;
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This paper presents a multi-objective optimization approach to design rotor slot geometry of three-phase squirrel cage induction machine to achieve NEMA design D torque-speed (T-S) characteristics with high efficiency. The multi-objective Particle Swarm Optimization (MOPSO) algorithm combined with the adaptive response surface method and Latin hypercube sampling strategy is applied to obtain the Pareto optimal designs. In order to demonstrate the validity of the suggested optimal algorithm, an application to rotor slot design of three-phase induction motor is presented.
High efficiency;Multi-Objective Optimization approach;NEMA design D machine;Three-phase squirrel cage induction machine;
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Energy management guide for selection and use of fixed frequency medium AC squirrel-cage poly-phase induction motors. NEMA standards publication MG 10-2001, NEMA.

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