Neural Network Control Based on Optimization of Immune Genetic Algorithm for Heat Tunnel of Fire Detector

摘要：

To realize the adaptive control in the heat tunnel system of fire detector,an adaptive PID control algorithm based on BP network and immune genetic algorithm(IGA)is presented.Firstly,the immune genetic algorithm is used to optimize the weights of BP network,which reduces the influence of control effect due to initial network weights; secondly,the PID parameters are adjusted on line based on the BP network during the control of heat tunnel.Experiment results show that this control algorithm is effective.Compared to other algorithms,the proposed algorithm owns high control precision,suppression capacity to noise and disturbance,and strong robustness.

作者: Yunfeng Bu Yi Shen

作者单位: Department of Mechanical Engineering,Huaiyin Institute of Technology

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）