Abstract
This paper presents an intelligent adaptive neuro fuzzy inference control of synchronous reluctance motor the proposed adaptive neuro fuzzy inference system algorithm for motor control The proposed strategy aims to enhance the performance of water pumping system driven by synchronous reluctance motor with PV system. The adaptive neuro fuzzy inference system has three main functions, high starting current without the use of linear current boosters until motor achieves pull out torque, motor voltage under safe range, and operating the PV array at the maximum power region. It intends to implement MPPT algorithm for maximum power extraction and design of a controller for motor control using available and trending algorithm.
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