ANFIS controller based speed control of high-speed BLDC motor drive

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Abstract

The paper aims to define the speed control of Brushless DC Motor (BLDC) drive using an Adaptive Neuro Fuzzy Interface System (ANFIS) controller. ANFIS controller-based switching scheme reduces the power quality issues present in the system by minimizing the Total Harmonic Distortion (THD). Incremental conductance algorithm-based control technique for the Maximum Power Point Tracking (MPPT) in variable solar irradiation conditions for photovoltaic (PV) system is proposed. INC algorithm are used to operate the photovoltaic panels at maximum power, by generating PWM pulse to control the flyback converters in differential power processing mode. BLDC motor drive is electronically commutated by means of switching logical pulses from the rotor position sensor using PI controllers. The simulation shows the significance and robustness of BLDC drive and the results offered illustrates the intended control is effective, with fast responseandminimum settling times.

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Muthamizhan, T., Silas Stephen, D., & Sivakumar, A. (2020). ANFIS controller based speed control of high-speed BLDC motor drive. Advances in Parallel Computing, 37, 341–348. https://doi.org/10.3233/APC200164

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