An optimized Fuzzy PI control method utilizing an improved QPSO for the hydrogen supply of PEMFC
- Resource Type
- Conference
- Authors
- Xue, Haoyuan; Zhang, Hailun; Sun, Wenxu; Yao, Ailing; Jia, Lei
- Source
- 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA) Industrial Electronics and Applications (ICIEA), 2023 IEEE 18th Conference on. :603-608 Aug, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Protons
Hydrogen
Sociology
Process control
Fuel cells
Regulation
Particle swarm optimization
PEMFC
Fuzzy-PI control
QPSO
System modeling
- Language
- ISSN
- 2158-2297
This paper proposes a Fuzzy logic PI control method for the hydrogen supply sub-system of the Proton Exchange Membrane Fuel Cell(PEMFC). The parameters of the controller are optimized using an improved Quantum-behaved Particle Swarm Optimization (QPSO) method. During the iterative optimization process with QPSO, the Logistic chaos mode is used to initialize the optimization algorithm by generating a set of random numbers as the initial population. The improved QPSO initialize method can effectively avoid the algorithm from getting stuck in local optima. The proposed control algorithm is based on a control-oriented model of the fuel cell, which established by combining the reaction process and the hydrogen supply and recirculation sub-system using the ejector. The hydrogen excess ratio and the ejector inlet pressure are controlled to the set value under load changes. The results indicate that the proposed control strategy has an improvement in regulation time and overshoot reduction of the hydrogen pressure and excess ratio compared with the traditional PID and fuzzy PI control strategies.