Title :
Fuzzy grey sliding mode control for maximum power point tracking of photovoltaic systems
Author :
Guo-Wei Hong ; Kai-Yew Lum ; Jung-Shan Lin
Author_Institution :
Dept. of Electr. Eng., Nat. Chi Nan Univ. Puli, Nantou, Taiwan
Abstract :
This paper proposes a fuzzy-grey sliding-mode control (FGSMC) strategy for maximum power point (MPP) tracking in photovoltaic (PV) systems. The problem to be addressed is that the linear reaching law in a previous SMC design has limited reaching speed if control saturation is to be avoided. Hence, a nonlinear reaching law is proposed by means of fuzzy-logic control which employs as inputs the sliding function, and its predicted forward difference provided by a grey-prediction algorithm. Control design is performed on an averaged system model, whereas the performances of FGSMC and SMC are compared in simulation on both the averaged model and the true switching PV system.
Keywords :
control system synthesis; fuzzy control; grey systems; maximum power point trackers; nonlinear control systems; photovoltaic power systems; power generation control; time-varying systems; variable structure systems; FGSMC strategy; MPP tracking; averaged system model; controller design; forward difference prediction; fuzzy grey sliding mode control; fuzzy-logic control; grey-prediction algorithm; maximum power point tracking; nonlinear reaching law; photovoltaic systems; sliding function input; switching PV system; Fuzzy logic; Integrated circuit modeling; Mathematical model; Noise measurement; Prediction algorithms; Sliding mode control; Switches; fuzzy control; grey predictor; maximum power point tracking; photovoltaic systems; sliding mode control;
Conference_Titel :
Control and Automation (ICCA), 2013 10th IEEE International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-4707-5
DOI :
10.1109/ICCA.2013.6564957