Title: Sliding mode control for photovoltaic water pumping system based on support vector machines

Authors: Omar Dahhani; Bouchra Sefriti; Abdessalam El-Jouni; Ismail Boumhidi

Addresses: LESSI Laboratory, Faculty of Sciences Dhar Mehraz, Sidi Mohammed Ben Abdellah University, 30000 Fez-Atlas, Morocco ' LESSI Laboratory, Faculty of Sciences Dhar Mehraz, Sidi Mohammed Ben Abdellah University, 30000 Fez-Atlas, Morocco ' LESSI Laboratory, Faculty of Sciences Dhar Mehraz, Sidi Mohammed Ben Abdellah University, 30000 Fez-Atlas, Morocco ' LESSI Laboratory, Faculty of Sciences Dhar Mehraz, Sidi Mohammed Ben Abdellah University, 30000 Fez-Atlas, Morocco

Abstract: In this paper, the sliding mode control (SMC) is combined with the support vector machines (SVMs) for the photovoltaic (PV) water pumping system control to force it to operate at the maximum power point (MPP). The main objective is to overcome the limitation of SMC in term of chattering phenomenon caused by the needed high switching gain for large system uncertainties. SVM technique is used in this work to predict the unknown part of the PV pumping system model, which enables the well description of the real system. Therefore, the switching gain can be chosen enough lower. The new SVM-SMC strategy is applied on the PV system through the converter duty cycle, which is considered as the control low. The performance of the proposed controller is verified through simulations.

Keywords: photovoltaic pumping systems; maximum power point; MPP; sliding mode control; SMC; support vector machines; SVM; solar energy; solar power; water pumps; controller design; simulation.

DOI: 10.1504/IJESMS.2016.079408

International Journal of Engineering Systems Modelling and Simulation, 2016 Vol.8 No.4, pp.246 - 254

Received: 10 Sep 2014
Accepted: 09 Jul 2015

Published online: 17 Sep 2016 *

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