AUTHORS: Prapapan Khluabwannarat, Auttarat Nawikavatan, Deacha Puangdownreong

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ABSTRACT: The brushless DC (BLDC) motor has been increasingly used in industrial automation, automotive, aerospace, instrumentation and appliances. Analysis and design of the BLDC motor control system efficiently require its accurate model parameters. Based on fractional calculus, the fractional-order model provides more accurate than the conventional integer-order one. In this paper, the optimal fractional-order model parameter identification of the BLDC motor via the flower pollination algorithm (FPA) is proposed. The FPA, one of the newest and most efficient metaheuristic optimization methods, is applied to identify the fractional-order model parameters of the BLDC motor. As simulation results, the FPA can optimally provide the BLDC model parameters of both integer-order and fractional-order models. However, the fractional-order model obtained by the FPA performs more accurate than the integer-order model obtained by the FPA

KEYWORDS: Fractional-Order Model, Brushless DC Motor, Flower Pollination Algorithm, Metaheuristics

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