Intelligent control of induction motor for photovoltaic water pumping system

Abstract 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...

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Bibliographic Details
Main Authors: Mustapha Errouha, Saad Motahhir, Quentin Combe, Aziz Derouich
Format: Article
Language:English
Published: Springer 2021-08-01
Series:SN Applied Sciences
Subjects:
Online Access:https://doi.org/10.1007/s42452-021-04757-4
Description
Summary:Abstract 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.
ISSN:2523-3963
2523-3971