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This paper presents the vector control of Induction Motor (IM) supplied by a photovoltaic generator which is controlled by an adaptive Proportional-Integral (PI) speed controller. The proposed solution is used to overcome the induction motor rotor resistance variation problem, which can affect negatively the performance of the speed control. To overcome the rotor resistance variation, an adaptive Proportional-Integral controller is developed with gains adaptation based on Adaptive Neuro-Fuzzy Inference System (ANFIS) in order to guarantee a high performances of electric drive systems against the parametric variations. The proposed control algorithm is tested by Matlab-Simulink. Analysis of the obtained results shows the characteristic robustness to disturbances of the load torque and to rotor resistance variation compared to the classical PI control and Model Reference Adaptive System (MRAS) rotor resistance observers. Key–Words: Induction motor, Adaptive control, Adaptive Neuro-Fuzzy Inference System, PI gains adaptation, Vector control, Photovoltaic systems, MPPT. Received: July 16, 2020. Revised: August 28, 2020. Accepted: September 3, 2020. Published: September 9, 2020.

Robust ANFIS Vector Control of Induction Motor Drive for High-Performance Speed Control Supplied by a Photovoltaic Generator