质子交换膜燃料电池最优过氧比多内模控制

Multiple internal model control for optimal oxygen excess ratio of PEMFC

摘要:

摘要：质子交换膜燃料电池(PEMFC)的空气供应系统具有较强的非线性，用传统的内模控制或比例积分微分（PID）控制来进行控制器的设计很难获得全局范围内的良好控制品质。论文基于多模型的内模控制及前馈控制研究了质子交换膜燃料电池的最优过氧比控制策略。在该策略中，通过选择不同典型工况点进行模型线性化以获取系统内模；结合隶属函数和前馈设计方法实现了最优过氧比的多内模控策略。仿真结果表明，该控制策略比常规单内模控制器以及PID控制在大范围内具有更好的控制品质。

Abstract:

Abstract: It is very difficulty to ensure that the controller derived by traditionally internal principal or PID has good performance over a wide range of operating condition due to the nonlinearity of the air supply subsystem of the proton exchange membrane fuel cell(PEMFC). In this paper, a strategy for optimal oxygen excess ratio of PEMFC is investigated base on multiple internal model principal and feedforward. In the proposed strategy, internal models, firstly, are derived by linearizing the PEMFC system at different operating conditions; then the strategy is achieved by the combination of membership function and feed forward design method. Simulation results show that the proposed strategy has better performance than conventional single internal model controller and PID controller.