Open AccessDecentralized T-S Fuzzy Control for Solar PV Powered Water Pumping System Driving by Induction Motor
Author(s) -
Zeineb Ben Safia,
Moez Allouch,
Mohamed Chaabane
Publication year - 2020
Publication title -
european journal of electrical engineering
Language(s) - English
Resource type - Journals
eISSN - 2116-7109
pISSN - 2103-3641
DOI - 10.18280/ejee.224-502
Subject(s) - control theory (sociology) , photovoltaic system , maximum power point tracking , maximum power principle , induction motor , controller (irrigation) , water pumping , dc motor , power (physics) , inverter , fuzzy logic , computer science , engineering , control engineering , voltage , control (management) , physics , electrical engineering , mechanical engineering , agronomy , quantum mechanics , artificial intelligence , inlet , biology
This paper presents a decentralized Takagi Sugeno (T-S) control scheme for a PV powered water pumping system, which is composed of a photovoltaic generator (PVG) supplying via a DC-DC boost converter, a DC-AC inverter, an Induction Motor coupled to a centrifugal pump. A T-S fuzzy controller is developed for MPPT (Maximum Power Point Tracking) to control the DC-DC boost converter, under variable solar irradiation and ambient temperature. An observer-based T-S fuzzy controller is dedicated to control the IM to guarantee the field-oriented control performances. From the optimal PV power provided in the MPP conditions, the optimal speed is calculated and delivered to control the IM, so that the proposed PV pumping system operates in optimal conditions and thus, maximizes the quantity of water pumped daily. Finally, simulation results are presented for both transient and steady state operation while taking into account all changes in climatic conditions, in order to validate the efficiency of the developed decentralized controller.