ANFIS-CURRENT-VOLTAGE CONTROLLED MPPT ALGORITHM FOR SOLAR POWERED BRUSHLESS DC MOTOR BASED WATER PUMP
electrical machines and drives
This research paper proposes to present an adaptive neuro fuzzy inference system and proportional integral controller based maximum power point tracking algorithm for solar powered brushless dc motor in order to facilitate water pumping applications. Adaptive neuro fuzzy inference with PI controller provides control gain to maximum power point tracker. It adjusts the duty cycle of the zeta converter for extracting maximum power from solar PV array. The performance of proposed controller is compared with the conventional perturb and observe method, fuzzy perturb and observe method and incremental conductance method. Simulation studies are carried out in MATLAB. The experimental verification is shown to prove the suitability and feasibility of the proposed controller. The results reveal that the adaptive fuzzy inference system with PI controller can quickly track maximum power from solar PV array under different irradiance.
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