Adaptive Control of Brushless DC Motors without Model Reduction

Chen Yu Kai; An Chyau Huang

doi:10.4028/www.scientific.net/AMM.278-280.1409

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Adaptive Control of Brushless DC Motors without...

Adaptive Control of Brushless DC Motors without Model Reduction

Abstract:

Various applications of brushless DC motors (BLDCM) can be found in the industrial environment. However, almost all controllers designed for BLDCM are based on reduced models where a first order dynamics is regarded as the internal model. This way a second order dynamics is considered with considerable simplification in the controller design. Since the reduced model may not reflect the entire dynamics of the motor, some deterioration in the control outcome can be observed. To improve the performance, this paper considers the adaptive control of a BLDCM without using reduced model. Some unknown time-varying payloads are applied to ensure its effectiveness in practical applications. Rigorous mathematics proof of closed loop stability is provided together with the boundedness of the internal parameters. Simulation cases are given to show efficacy of the proposed scheme.