Hybrid Adaptive Control for PEMFC Gas Pressure: A Recent Study | Chapter 2 | Research Trends and Challenges in Physical Science Vol. 5

 Nonlinearity and coupling between anode and cathode pressures in proton exchange membrane fuel cell (PEMFC) gas supply systems are discussed in this research. The authors offer a fuzzy adaptive PI decoupling control approach based on an upgraded advanced genetic algorithm (AGA). To achieve approximate decoupling management of the PEMFC gas supply system, this AGA is used to optimise the PI parameters offline, and the fuzzy adaptive algorithm is used to change the PI parameters dynamically online using the fuzzy adaptive algorithm. The PEMFC gas supply system with the fuzzy–AGA–PI decoupling control approach was simulated for comparison using the proposed dynamic model. The simulation results show that, under various load variations, the suggested control system can lower the pressure difference more efficiently than the classical control approach.

Author(S) Details

Jing Chen
School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China.

Chenghui Zhang
School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China.

Ke Li
School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China.

Yuedong Zhan
Department of Automation, Kunming University of Science and Technology, Jingming-South-Street 727, Kunming 650500, China.

Bo Sun
School of Control Science and Engineering, Shandong University, Jingshi-Road 17923, Jinan 250061, China.

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