Modeling and Control of a Centrifugal Compressor for the PEMFC Air Feeding System
- Resource Type
- Conference
- Authors
- Wang, Yining; Xia, Zetao; Ma, Longhua
- Source
- 2022 China Automation Congress (CAC) Automation Congress (CAC), 2022 China. :1565-1570 Nov, 2022
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Protons
Adaptation models
Atmospheric modeling
Simulation
Fuel cells
Mathematical models
Voltage control
air compressor
proton exchange membrane fuel cell
parameter identification
airflow control
- Language
- ISSN
- 2688-0938
The performance of the air compressor, which is the most crucial part of the proton exchange membrane fuel cell (PEMFC), has a significant influence on the steady operation of the system. The unknown parameters in the Moore Greitzer model are identified by an adaptive genetic algorithm in order to construct a precise mathematical model of the air compressor. The outcomes of the experiment demonstrate that the established compressor model and the obtained data agree well. The proposed model is then applied to a 10kW fuel cell stack model, and the compressor airflow is adjusted using a straightforward PID controller. The simulation findings show that the compressor can efficiently meet the needs of the fuel cell stack even when there are frequent load variations.