Open Access Review Article

Fuzzy Adaptive Control by Reference Model of a Submerged Electric Pump: Application to Photovoltaic Water Pumping

Ernest Kiata1,2,3*, Ndjiya Ngasop2,3,4, Nkenmoe Simo Justin1,2, Haman-Djalo1,2,4

1Faculty of Information and Communication Technologies, Protestant University of Central Africa /Yaounde/Cameroon.

2Laboratory of Information and Communication Technologies, Protestant University of Central Africa, /Yaounde/ Cameroon

3University of Ngaoundere/ Cameroon, Department of physics, Faculty of Science, Cameroon

4Department of the Electric, Energy and Engineering Automatic, national school of agro-industrial Sciences (ENSAI), University of Ngaoundere, Cameroon

Corresponding Author

Received Date: November 25, 2022;  Published Date: January 10, 2023


In developing countries, remote areas and particularly in Africa, water pumping is increasingly used to gain access to water. Submerged electric pumps face two major operating problems: variations in internal parameters and external disturbances. This article proposes an optimal control strategy for a photovoltaic pumping system, based on the dual use of fuzzy logic to allow access to water in quantity. The complete system, operating over the sun is modelled and simulated on Matlab/Simulink including a photovoltaic generator, an adaptation stage (chopper-inverter) and a submerged electric pump. The switch (IGBT) of the booster chopper is controlled by a fuzzy controller that regularly adjusts the duty cycle according to the climatic conditions and ensures the operation of the submerged electric pump at the maximum power point. Adaptive control by reference model of the electropump’s speed based on fuzzy logic is used and presents a better efficiency.

Keywords:Adaptive control; Submersible pump; Fuzzy logic; MPPT; Photovoltaic energy

Signup for Newsletter
Scroll to Top