Intelligent control of induction motor for photovoltaic water pumping system

• Published in: SN applied sciences Vol. 3; no. 9; pp. 777 - 14
• Main Authors: Errouha, Mustapha, Motahhir, Saad, Combe, Quentin, Derouich, Aziz
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.09.2021; Springer Nature B.V; Springer Verlag; Springer
• Subjects: Adaptive control; Adaptive fuzzy logic control; Adaptive systems; Alternative energy sources; Applied and Technical Physics; Chemistry/Food Science; Design; Direct torque control; Dynamic response; Earth Sciences; Efficiency; Electric power; Engineering; Engineering Sciences; Environment; Fuzzy control; Fuzzy logic; Fuzzy logic control; Genetic algorithms; Incremental conductance; Induction motors; Materials Science; Motor task performance; Optimization; Performance enhancement; Photovoltaic cells; Photovoltaic water pumping system; Photovoltaics; Power; Pumping; Regulation; Renewable resources; Research Article; Topology; Torque; Variable step size incremental conductance; Photovoltaic water pumping system; Fuzzy logic control; Variable step size incremental conductance; Adaptive fuzzy logic control; Direct torque control

This work aims to improve the performance of direct torque control (DTC) technique for induction motor based photovoltaic (PV) water pumping system (PVWPS). The innovative aspect of this work consists in introducing the adaptive fuzzy logic control and the fuzzy logic control techniques as alternati...