Motion Control in a Free Piston Energy Converter Based on a Neural Adaptive PID Decoupling Controller

摘要：

　　The free piston energy converter (FPEC) is a combination of a combustion engine and a linear electrical machine which develops a new type of power unit for hybrid electric vehicle.The movement component of the FPEC is a multi-input multi-output coupling nonlinear system.As a consequence,an adaptive decoupling control strategy is presented in this paper for controlling the piston motion.Two neural PID controllers in parallel are employed as the decoupling controller,in which PID gains are auto adjusted by supervised Hebb’s learning rule.Simulation results show that the utilization of the neural adaptive PID decoupling controller gives rise to stabilize the piston motion.

关键词： Free piston energy converter motion control neuron learning algorithm PID control

作者: Yimin Lu Xianfeng Huang Juanping Wang Z. Q. Zhu

作者单位: College of Electrical Engineering, Guangxi University, China College of Civil Engineering and Architecture, Guangxi University, China Department of Electronic and Electrical Engineering, University of Sheffield, UK

会议类型: 国际会议

会议名称: 第九届国际直线电机驱动与工业应用会议(LDIA2013)

会议地点: 杭州

会议语种:英文

页码: 1-4

在线出版日期: 2013-07-07（万方平台首次上网日期，不代表论文的发表时间）