摘要
传统的PID(比例积分微分)控制采用线性组合方案,难于协调快速性和稳态特性之间的矛盾,蚁群算法是一种新型的仿生优化算法,将蚁群算法和模糊PID控制算法相结合,利用蚁群算法全局寻优能力来优化模糊PID控制器的三个参数,仿真实验表明,该PID控制器具有较好的动态性能。
For the traditional PID control adopting linear combination,the contradiction between rapidity and steady state characteristic is difficult to be coordinated.Ant colony algorithm is a new algorithm of bionic optimization which is combined with fuzzy PID control algorithm to optimize the three parameters of fuzzy PID controller by its global optimization.The simulation results have shown good dynamic performance of the PID controller.
出处
《探测与控制学报》
CSCD
北大核心
2009年第1期32-35,共4页
Journal of Detection & Control
基金
江苏省"青蓝工程"培养对象资助项目资助(苏教师[2007]2号)
关键词
蚁群算法
模糊控制
PID控制
仿真
ant colony algorithm
fuzzy controller
PID control
simulation
