摘要
为了解决火灾探测器闭环温箱的控制,提出了一种基于免疫遗传优化的RBF网络参数整定PID算法。首先利用免疫遗传算法对初始PID参数及其学习率进行优化;然后在RBF辨识网络基础上实现了PID参数的在线调整。实验表明该算法能实现火灾探测器温箱系统的PID自适应控制,具有控制精度高、抑制噪声及扰动能力强的优点。
To resolve the control for heat tunnel of fire detector, a RBF network parameters tuning algorithm for PID based on immune genetic optimization is presented. Firstly,the original PID parameters and their learning rates are optimized with immune genetic algorithm, secondly, the PID parameters are adjusted on line based on the RBF identification network. Experiment results show that this control algorithm can realize PID adaptive control. The proposed algorithm owns high control precision, suppression capacity to noise and disturbance.
出处
《机械与电子》
2008年第5期39-42,共4页
Machinery & Electronics
基金
院重点科研基金项目(HG0406)
关键词
免疫遗传算法
径向基函数
PID控制器
温度控制
immune genetic algorithm； radial basis function； PID control； temperature control
