摘要
针对非线性控制系统,利用进化规划模糊算法,对PID控制器规则基的参数进行离线优化,优化后的模糊控制规则可对系统实现实时控制。该控制算法无需任何先验知识和量化因子,具有很强的数据挖掘能力,且模糊规则基的寻优速度较快。通过对非线性系统进行仿真,验证了该算法的有效性,与传统固定参数PID控制方法及遗传算法整定参数PID控制方法相比,明显地提高了系统的稳定性和动态性能。
An evolutionary programming and fuzzy algorithm is proposed for nonlinear complicated systems.Evolutionary programming is used in offline training to optimize controller s rule base.Then the optimized base is implemented in online control.The novel method doesn t need any numerical factor and prior experience while possessing strong data-mining ability and rapid optimized speed of fuzzy rule base.Finally,compared with the traditional PID control algorithm and the PID controller with the genetic algorithm ba...
出处
《控制工程》
CSCD
2006年第S1期71-74,共4页
Control Engineering of China
基金
厦门大学985二期信息创新平台资助项目
关键词
模糊算法
进化规划
规则基自动获取
PID控制器
fuzzy algorithm
evolutionary programming
automatic fuzzy rule acquisition
PID controller
