An adaptive fuzzy control strategy of movable power sources of proton exchange membrane fuel cells

Movable power sources of proton exchange membrane fuel cells (PEMFC) are the important research direction in the current fuel cell (FC) research field, but PEMFC system control influences the cell performance of PEMFC movable power sources greatly and is a complex industry system control problem. The focus of this paper is to study a suitable system control strategy for PEMFC movable power sources in order to meet the operation request and the control characteristic of PEMFC movable power sources. On the basis of the experiment of 1-kilowatt level PEMFC movable power sources, an adaptive fuzzy control strategy of PEMFC movable power sources is presented in the view of technology application. As a result of applying the multivariable fuzzy logic theory and the fuzzy control theory, the fuzzy control system gets rid of the limits of the controlled object, which has the imprecision, uncertainty and partial truth, to achieve its tractability, robustness and low solution cost. And owing to using the iteration learning and the online learning identification, it can constantly gather and study new control data to revise and improve the control rules according to the actual running status of the PEMFC movable power sources. Therefore, the control system has the adaptive capacity and the online study ability to effectively solve the control problem caused by time-change, multi-disturbance, uncertainty, strong-coupling and nonlinearity. Computer simulation and experiment finally indicate that it is reasonable and effective, and satisfies the requirement of PEMFC movable power sources system control characteristic.