Title :
A rule-based fuzzy logic controller for a PWM inverter in photo-voltaic energy conversion scheme
Author :
Hilloowala, Rohin M. ; Sharaf, Adel M.
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
A rule-based controller based on fuzzy set theory for controlling the output power of a pulse width modulation (PWM) inverter in a photovoltaic (PV) energy conversion interface scheme is presented. The objective is to track and extract the maximum available solar power from the PV array under varying solar insolation levels. To achieve this the power error and the rate of change of this error are used as input signals to the fuzzy rule-based controller and its output signal is used to control the PWM inverter. The input error signals are fuzzified and expressed as linguistic labels characterized by their membership grades. Using a fuzzy relation matrix, a set of 49 rules find fuzzy logic operations, the controller output is obtained. The fuzzy controller output expressed in linguistic labels is defuzzified to obtain the actual analog signal to control the PWM inverter. The proposed fuzzy rule-based controller is simulated and experimentally verified, and is found to give good power tracking performance
Keywords :
fuzzy control; fuzzy set theory; invertors; knowledge based systems; power control; pulse width modulation; solar cell arrays; PV array; PWM inverter; fuzzy set theory; input error signals; photo-voltaic energy conversion scheme; power control; power error; power tracking performance; rule-based fuzzy logic controller; solar insolation levels; Energy conversion; Error correction; Fuzzy control; Fuzzy logic; Fuzzy set theory; Photovoltaic systems; Power generation; Pulse inverters; Pulse width modulation inverters; Solar power generation;
Conference_Titel :
Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-0635-X
DOI :
10.1109/IAS.1992.244319