Model-free Adaptive Predictive Control of Open-cathode PEMFC System Based on PFDL

被引：0

作者：

Liu L. ^{[1
]}

Li Q. ^{[1
]}

Yin L. ^{[1
]}

Wang T. ^{[1
]}

Chen W. ^{[1
]}

机构：

[1] School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, Sichuan Province

来源：

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering | 2019年 / 39卷 / 16期

基金：

中国国家自然科学基金;

关键词：

Model-free adaptive predictive control; Optimal output performance; Partial form dynamic linearization; Proton exchange membrane fuel cell (PEMFC);

D O I：

10.13334/j.0258-8013.pcsee.180074

中图分类号：

学科分类号：

摘要：

In order to maintain the optimal output performance of a proton exchange membrane fuel cell (PEMFC), a model-free adaptive predictive control strategy based on partial form dynamic linearization (PFDL-MFAPC) was proposed to realize performance optimization of fuel cell stack. By using the method of partial linear dynamic linearization, the open-cathode PEMFC, a nonlinear time-varying system, was equivalently transformed into a dynamic linearized data model, and then realized the control of nonlinear objects. The experiment was carried out on the built monitoring platform to verify the correctness of the dynamic linear mathematical model and the reliability of the control strategy. Compared with the traditional PID control strategy, the proposed control strategy has less overshoot, faster adjustment time and higher output power. It proves that this control strategy has the superiority that ensuring a more stable output power and better dynamic performance. It is conducive to maintain the long-term stable operation of proton exchange membrane fuel cell. © 2019 Chin. Soc. for Elec. Eng.

引用

页码：4827 / 4837

页数：10

共 23 条

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