Design of an adaptive sliding mode controller for efficiency improvement of the MPPT for PV water pumping. (2019)

• Record Type: Journal Article
• Authors: Miqoi, Sabah; Ougli, Abdelghani El; Tidhaf, Belkassem
• Is Part Of: International journal of intelligent engineering informatics. Volume 7:Number 1(2019)
• Page Start: 19
• Page End: 36
• Publication Date: 2019
• Subjects: MPPT controller -- DC/DC boost converter -- PV panel -- SMC -- sliding mode control -- adaptive sliding mode control -- P&O algorithm -- MPP -- maximum power point -- water pump -- DC motor; Artificial intelligence -- Engineering applications -- Periodicals; Engineering -- Computer programs -- Periodicals; Knowledge management -- Periodicals; 620.0028563
• Languages: English
• ISSNs: 1758-8715

Abstract

This paper represents a conception and simulation of a photovoltaic (PV) water pump along with a new maximum power point tracker (MPPT) control to ensure the operation of the PV system at a maximum power for various climatic conditions. In particular, we propose a robust tracking controller, an adaptive sliding mode control (ASMC). Our system includes a PV panel, DC/DC boost converter, a DC motor, a centrifuge water pump and an MPPT controller that generates the duty cycle to the boost converter. The proposed controller is compared to a sliding mode control (SMC) and a classic perturb and observe (P&O) algorithm. The system is simulated in MATLAB/Simulink and the results show the good functioning and the improvement of the performance of the PV system using the proposed controller.