Title :
Fuzzy logic controller based SEPIC converter of maximum power point tracking
Author :
El Khateb, A. ; Rahim, N.A. ; Selvaraj, J. ; Uddin, M.N.
Abstract :
This paper presents a fuzzy logic controller (FLC) based single-ended primary-inductor (SEPIC) converter of maximum power point tracking (MPPT). The proposed scheme ensures optimal use of PV array and proves its efficacy in variable load conditions, unity and lagging power factor at the inverter output (load) side as it is used also there. The real-time implementation of the MPPT SEPIC converter is done by digital signal processor (DSP); TMS320F28335. The performance of the converter is tested in both simulation and experiment at different operating conditions. The results are compared to PI based ones due to its severe use in industries. The results show that the proposed FLC based SEPIC-MPPT scheme can accurately track the reference signal and transfer power around 4.8% more than conventional PI based system.
Keywords :
fuzzy control; maximum power point trackers; power convertors; power factor; FLC based SEPIC-MPPT scheme; MPPT SEPIC converter; PI based system; PV array; TMS320F28335 DSP; digital signal processor; fuzzy logic controller; inverter output side; lagging power factor; maximum power point tracking; reference signal tracking; single-ended primary-inductor converter; Fuzzy logic; Inverters; Photovoltaic cells; Pulse width modulation; Real-time systems; Voltage control; Fuzzy control; dc-dc power converters; photovoltaic cells; proportional-integral controller; real-time system;
Conference_Titel :
Industry Applications Society Annual Meeting (IAS), 2012 IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4673-0330-9
Electronic_ISBN :
0197-2618
DOI :
10.1109/IAS.2012.6374024