DocumentCode :
1843415
Title :
A fuzzy logic controller for maximum power point tracking with 8-bit microcontroller
Author :
Yang, Yueh-Ru
Author_Institution :
Grad. Inst. of Mechatron. Eng., Ming Chi Univ. of Technol., Taipei, Taiwan
fYear :
2010
fDate :
7-10 Nov. 2010
Firstpage :
2895
Lastpage :
2900
Abstract :
This paper presents the implementation of maximum power point tracking (MPPT) with fuzzy logic controller. For cost consideration, an inexpensive 8-bit microcontroller, PIC16F877A, is selected and programmed with C language and integer variables. For evaluation, the implemented fuzzy logic controller (FLC) is compared with the MPPT controller of using perturbation and observation (P&O). Both types of MPPT controllers are tested on the same voltage source with a series-connected resistor. Experimental results show that the implemented FLC with appropriate design meets the control requirements of MPPT. The FLC based on linguistic fuzzy rules has more flexibility and intelligence than conventional P&O controller, but the FLC spends more RAM and ROM spaces than the P&O tracker does.
Keywords :
C language; fuzzy control; fuzzy logic; microcontrollers; power engineering computing; solar cells; solar power; C language; PIC16F877A; fuzzy logic controller; integer variables; linguistic fuzzy rules; maximum power point tracking controller; microcontroller; observation; perturbation; series-connected resistor; solar panel; word length 8 bit; Algorithm design and analysis; Fuzzy logic; Microcontrollers; Power generation; Pulse width modulation; Real time systems; Table lookup;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
ISSN :
1553-572X
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
Type :
conf
DOI :
10.1109/IECON.2010.5675084
Filename :
5675084
Link To Document :
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