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
• ISSN: 2523-3963; 2523-3971
• DOI: 10.1007/s42452-021-04757-4

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 alternative approaches to conventional DTC to control the PVWPS. To ensure a good operation of the PV array, a variable step size incremental conductance (VSS INC) is implemented. Simulation studies of the proposed topology based on intelligent approaches will be investigated using Matlab/Simulink under various operating conditions to validate the suitability of the proposed PVWPS. From the obtained results, the proposed control strategies appear to be very convenient for water pumping applications. Article Highlights An intelligent control based on the advanced techniques is proposed for PV water pumping system. An adaptive fuzzy logic PID approach and optimal fuzzy rules are proposed for better operation of PV system. The suggested PV water pumping system achieves better performance, in particular minimization of torque and flux ripples, reduction of torque overshoot and high dynamic response.