Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell

Jianxin Liu; Tiebiao Zhao; YangQuan Chen

Volume 4 Issue 1

Jan. 2017

IEEE/CAA Journal of Automatica Sinica

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Jianxin Liu, Tiebiao Zhao and YangQuan Chen, "Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 70-79, Jan. 2017.

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Jianxin Liu, Tiebiao Zhao and YangQuan Chen, "Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell," IEEE/CAA J. Autom. Sinica, vol. 4, no. 1, pp. 70-79, Jan. 2017.

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Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell

1.
School of Mechanical Engineering, Xihua University, Chengdu 610039, China
2.
University of California, Merced, CA 95343, USA

Funds: This work was supported by the Research Project Granted by Xihua University

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Author Bio:
Tiebiao Zhao graduated from Yantai University, China, 2009. He received his M.Sc. degree in control theory and control engineering from University of Science and Technology of China, China, 2012. Currently he is the third year Ph.D. candidate in University of California, Merced. His research interests include applications of small unmanned aerial systems (sUAS) in precision agriculture, especially water stress detection and yield prediction (e-mail: tzhao@ucmerced.edu)

YangQuan Chen received his Ph.D. degree in advanced control and instrumentation from Nanyang Technological University, Singapore, in 1998. Dr. Chen was on the Faculty of Electrical and Computer Engineering at Utah State University before he joined the School of Engineering, University of California, Merced in 2012 where he teaches mechatronics for juniors and fractional order mechanics for graduates. His current research interests include mechatronics for sustainability, cognitive process control and hybrid lighting control, multi-UAV based cooperative multi-spectral personal remote sensing and applications, applied fractional calculus in controls, signal processing and energy informatics; distributed measurement and distributed control of distributed parameter systems using mobile actuator and sensor networks (e-mail:ychen53@ucmerced.edu)
Corresponding author: Jianxin Liu graduated from Wuhan Iron and Steel University (WISU), China, in 1991. He received the M.E. degree from WISU in 1994 and the Ph.D. degree from the Chongqing University, China, in 1997. He is currently a professor at the School of Mechanical Engineering, Xihua University, China. His research interests include robotics and automation, especially the control of robots such as visual servoing control and intelligent control. Corresponding author of this paper (e-mail: jamson liu@163.com)
Received Date: 2015-09-01
Accepted Date: 2016-02-28

Abstract

Abstract

Proton exchange membrane fuel cell (PEMFC) is widely recognized as a potentially renewable and green energy source based on hydrogen. Maximum power point tracking (MPPT) is one of the most important working conditions to be considered. In order to improve the performance such as convergence and robustness under disturbance and uncertainty, a fractional order high pass filter (FOHPF) is applied for the MPPT controller design based on the traditional extremum seeking control (ESC). The controller is designed with integerorder integrator (IO-I) and low pass filter (IO-LPF) together with fractional order high pass filter (FOHPF), by substituting the normal HPF in the original ESC system. With this FOHPF ESC, better convergence and smoother performance are achieved while maintaining the robust specifications. First, tracking stability is discussed under the commensurate-order condition. Then, simulation results are included to validate the proposed new FOHPF ESC scheme under disturbance. Finally, comparison results between FOHPF ESC and the traditional ESC method are also provided.
- Extremum seeking control (ESC),
- fractional order high pass filter (FOHPF),
- fuel cell,
- fractional controller stability,
- maximum power point tracking (MPPT)

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Maximum Power Point Tracking With Fractional Order High Pass Filter for Proton Exchange Membrane Fuel Cell

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