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International Journal of Photoenergy
Volume 2015, Article ID 828129, 14 pages
Research Article

Design of Incremental Conductance Sliding Mode MPPT Control Applied by Integrated Photovoltaic and Proton Exchange Membrane Fuel Cell System under Various Operating Conditions for BLDC Motor

1Intelligent Control System Laboratory, Yonsei University, Shin Chon Campus, B2 Building 723, Seoul 120-749, Republic of Korea
2MathWorks Korea, LLC, Gangnam-gu, Seoul 135-741, Republic of Korea
3Advanced R&D Team, Samsung Electronics Co., Ltd., Suwon 443-742, Republic of Korea
4Hankyong National University, Anseong Campus, S Building 409, Kyonggi-do 456-749, Republic of Korea

Received 23 January 2015; Accepted 29 March 2015

Academic Editor: Mahmoud M. El-Nahass

Copyright © 2015 Jehun Hahm et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper proposes an integrated photovoltaic (PV) and proton exchange membrane fuel cell (PEMFC) system for continuous energy harvesting under various operating conditions for use with a brushless DC motor. The proposed scheme is based on the incremental conductance (IncCond) algorithm combined with the sliding mode technique. Under changing atmospheric conditions, the energy conversion efficiency of a PV array is very low, leading to significant power losses. Consequently, increasing efficiency by means of maximum power point tracking (MPPT) is particularly important. To manage such a hybrid system, control strategies need to be established to achieve the aim of the distributed system. Firstly, a Matlab/Simulink based model of the PV and PEMFC is developed and validated, as well as the incremental conductance sliding (ICS) MPPT technique; then, different MPPT algorithms are employed to control the PV array under nonuniform temperature and insolation conditions, to study these algorithms effectiveness under various operating conditions. Conventional techniques are easy to implement but produce oscillations at MPP. Compared to these techniques, the proposed technique is more efficient; it produces less oscillation at MPP in the steady state and provides more precise tracking.