Fuzzy-logic Based Self-tuning PI Controller for High-Performance Vector Controlled Induction Motor Fed by PV-Generator

In this paper, speed control of asynchronous machine fed by a photovoltaic (PV) generator based on a direct proportional and integral controller and an adaptive fuzzy logic controller (AFLC) is presented. Also In this study, it is proposed that the PV output voltage is varies between certain cut in and cut off values that to extract maximum power during different insolation values instead of operating the motor with constant voltage. To decrease the system cost, it is proposed that the system does not contain storage batteries and there is no needing for DC/DC converter where, variable voltage of PV generator is considered. The motor speed is controlled to track a certain reference values using the proposed controller. In addition, an efficient vector controller that can achieve high accuracy and a fast dynamic response of induction machine is presented. Also, In order to validate the effectiveness of the proposed adaptive fuzzy PI (AFPI) controller scheme, the performance of the proposed controller was compared with a classical PI controller. Obtained simulation results show that accurate tracking performance of the induction motor is achieved with variations of both PV generator output voltage and the load torque. Key-words:Photovoltaic generator; Vector control; Adaptive control; Fuzzy logic control; PI control; Induction motor.