摘要
空气压力是影响车用质子交换膜燃料电池输出功率的关键参数之一。为使空气压力快速适应燃料电池输出功率的变化,采用基于RBF神经网络整定的PID控制,提高了控制系统的动态性能。仿真结果表明,相对经典PID控制而言,采用RBF-PID控制的空气压力响应时间短,响应速度快。
Air pressure is a key parameter to output power of proton exchange membrane fuel cells .In order to make air pressure quickly adapts to output power of PEMFC , a PID controller adapted by RBF ANN was adopted to improve dynamic per-formance of air pressure control system .Simulation results show that the air pressure control system had better control perform -ance in responding time and responding speed than conventional PID .
出处
《武汉理工大学学报(信息与管理工程版)》
CAS
2014年第5期618-621,共4页
Journal of Wuhan University of Technology:Information & Management Engineering
基金
国家"863"计划基金资助项目(2006AA11A133)