质子交换膜燃料电池的连续模型预测控制器的设计

Continuous Model Predictive Controller for a Proton Exchange Membrane Fuel Cell

在对质子交换膜燃料电池(PEMFC)的工作原理进行研究分析的基础上,对其进行了数学描述,并在Matlab/Simulink仿真平台下建立了质子膜燃料电池的动态仿真模型;维持PEMFC系统的正常运行需要良好的控制系统;通过将拉盖尔函数应用到连续模型预测控制(CMPC)算法中,分析了CMPC的不足之处并通过指数权值函数进行了简单的修正,随后将两种控制策略与传统的离散预测控制(DMPC)施加到PEMFC系统中去并进行了仿真对比分析,仿真结果证明了CMPC算法的有效性以及优越性。

Based on the research and analysis of the proton exchange membrane fuel cell(PEMFC)working principle,the mathematical description of PEMFC was given and its dynamic simulation model was established in Matlab/Simulink.Maintaining a fuel cell system in correct operating conditions requires good system control.The continuous model predictive controller(CMPC)was designed using Laguerre functions;besides,a simple modification strategy was proposed by using index weighting function.Two control strategies and the traditional DMPC were applied to control the output power of the PEMFC system.The results show the effectiveness and superiority of the CMPC algorithm.