کنفرانس بین المللی ماشین و محرکه های الکتریکی

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صفحه اصلی / icemd2024

Identification of Brushless DC Motor Parameters Using Meta-Heuristic Techniques

نویسندگان :

Amirhossein Sadeghi-Bahmani¹ Ramin Alipour-Sarabi²

1- Department of Electrical Engineering K.N.Toosi University of Technology Tehran, Iran 2- Department of Electrical Engineering K.N.Toosi University of Technology Tehran, Iran

کلمات کلیدی :

Brushless DC (BLDC) motor،Parameter Identification،Meta-Heuristic،ATS،ICS،PSO

چکیده :

Brushless DC motors play a major role in industry and automations. They are maily used in motion control and torque control closed loop systems. To have an effective control the parameters of machine should be correctly calculated and inserted in the control system. Many methods can be used for parameters estimation of motors. Meta-heuristic methods due to their generality and high speed characteristics are preferred in this way. Accordingly, in this paper, three different optimization method are used to determine brushless DC motor parameters. To verify the accuracy of methods, they are copared with the analytical calculations and simulation.The results show good agreement between the meta-heuristic methods and analytical calculations and simulation.