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