摘要
PID控制由于算法简单,鲁棒性好在工业的过程控制中应用很广泛,但是传统的Z-N算法整定的PID参数却并不是最佳的。蚁群算法作为一种新型的仿生优化算法,该算法具有很多优良的性质,近年来在优化领域中得到了广泛应用。本文提出了一种改进的蚁群算法,通过增加高斯变异这一环节来增强算法的智能性,最后通过仿真实验获得了较好的控制效果。
The PID controller has been used widely for its advantages of simple algorithm and good robustness. But the PID parameters tuned by the classical Z--N algorithm are not optimal. Ant colony algorithm is a new category of bionic algorithm for optimization problems. The algorithm has a lot of good nature. And it has been used widely. This paper presents an improved ant colony algorithm, by increasing the Gaussian mutation to enhance the intelligent of the algorithm. The simulation result shows the good results.
出处
《仪器仪表用户》
2009年第5期34-35,共2页
Instrumentation
关键词
蚁群算法
PID控制
高斯变异
ant colony algorithm
PID control
Gaussian mutation
