Fuzzy logic direct torque control of induction motor for photovoltaic water pumping system

Abstract

This study presents a fuzzy logic direct torque control for induction motor to be used in photovoltaic (PV) water pumping system. The system is intended to be less expensive and simple while maximizing PV array power utilization. For this purpose, a smart technology based on fuzzy logic controller (FLC) has been implemented to track the maximum power which has been successfully used in solar water pumping systems under different irradiance levels. Next, to alleviate the disadvantages of standard DTC, we chose fuzzy direct torque control (FDTC) for induction motors driving a centrifugal pump. Furthermore, this study includes the usage of IP with antiwindup and slide mode speed controller (SMC) instead of the traditional proportional-integral speed controller. Finally, the induction motor (IM) speed has been optimized with an optimum speed control in order to maximize the pump’s hydraulic parameters. The FDTC, with its SMC outperforms the photovoltaic pumping system (PVPS) in terms of dynamic performance and robustness. To develop a full simulation model of the proposed PVPS configuration under various climate conditions, MATLAB environment and associated Simulink are used.

Mitigation of supply current harmonics in fuzzy-logic based 3-phase induction motor

“…In this proposed work, 1-ϕ instantaneous power (PQ) theory is applied to control active shunt power filters and to extract harmonic compensating current. In this system, PI, PID, and Fuzzy logic controllers are adapted for generating switching signals applied to SAF and the inverter to maintain source current harmonics and boost the IM performance, were reported [28]− [31]. SAF is introduced here to yield the compensating harmonic current, which is opposite to the current drawn by non-linear loads, and it reduces the source current harmonics.…”

Enhancing Performance of Photovoltaic Pump Systems in Remote Areas Using a Sliding Mode Technique for Maximum Power Point Tracking

“…Several nonlinear control strategies have been put out for IM drive as Backstepping control [11,12] and sliding mode controller [3,13]. Some use intelligent controllers like fuzzy logic [14,15] and artificial neural networks [16,17]. However, the most popular way is the employment of the v/f technique, which has several benefits like simplicity, convenience of use, and low cost [18,19].…”

Hybrid sliding neural network controller of a direct driven vertical axis wind turbine

“…Presently, one of the sustainable energy sources is wind power its production has seen fast growth in few past years [1], [2], where its production rate doubled between 1997 from 7.5 GW to 743 GW in 2020 [3]. Although Algeria has many regions where wind power can be exploited, especially in the southern regions as the Adrar region, where the wind speed in the most of the time is above 3 m/s and the capacity factor value is 48%, the quantity of electricity produced by wind energy is still low compared to Algeria's enormous potential, and wind power station in Kabarten at Adrar reminded the only project completed with a production capacity of 10 MW [4], [5].…”