Multicriterion optimisation approach in the design of a PSC motor

Mohammed, Ismail A.; Al-Uzri, A.M.

doi:10.1049/ip-epa:20000040

Cited by 1 publication

(1 citation statement)

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“…The publications associated with optimization of induction motors mostly concern three-phase motors (Boldea and Tutulea, 2010;Di Barba, 2010). In the papers (Mohammed and Aluzri, 2000;Liu and Xu, 2007;Locke, 2000;Zhou et al, 2000;Aluzri and Mohammed, 2002;Subramanian and Bhuvaneswari, 2007;Wang et al, 2004) devoted to the optimization of induction motors, authors used various optimization algorithms, both deterministic and nondeterministic, such as genetic, evolutionary algorithms and other stochastic called soft-computing. These algorithms are often applied because of their high ability to find global minima and high resistance to numerical errors arising from the application of the finite element method (Muenier, 2008).…”

Section: Introductionmentioning

confidence: 99%

Optimization of a single-phase capacitor induction motor by applying a surrogate field-circuit model

Makowski

Wilk

2014

COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering

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Purpose -The purpose of this paper is to present optimization of a single-phase capacitor induction motor with respect to efficiency and starting torque by using surrogate field-circuit model for steady-state. As variables, dimensions of the rotor slots and capacitor capacitance were assumed, whereas outputs were the motor performance characteristics. Searching for a motor design of maximum starting torque or maximum efficiency were objectives of the optimization. To verify design solutions, rated load and locked rotor tests of the optimized motors were performed by computer simulation which confirmed better performance parameters of the optimized motors. Design/methodology/approach -The paper presents optimization procedure of a single-phase capacitor induction motor by applying response surface methodology for surrogate 2D field-circuit model of the motor. For solving the problem a single-objective and bi-objective approach were applied. Findings -The carried out calculations showed that obtained new structures of the capacitor induction motor have better starting properties -the higher ratio of starting to rated torque. It was also obtained the motor construction with higher efficiency and lower stator current at the same time.Originality/value -The main advantage of the formulated optimization procedure was application of the SSO (sequential surrogate optimization) algorithm which exploits a polynomial surrogate model and genetic algorithm to find minimum of the objective functions and also to speed up computations.

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