摘要
针对水轮机调速器常规PID控制不能根据系统的动态过程自动调整控制参数的问题,提出一种改进的基于协同进化遗传算法的模糊自适应PID控制算法,该方法采用协同进化遗传算法同时优化模糊PID控制的模糊规则和PID整定公式中的3个比例因子,通过模糊推理的方法求解PID参数的变化量,对PID参数进行自动整定,为了避免优化得到的模糊规则之间发生跳变,在目标函数中引入一光滑因子。仿真表明,该控制算法具有良好的静态和动态性能。
To overcome the shortcomings of general hydraulic turbine PID governor, an improved fuzzy selfmodify PID control method based on cooperative coevolutionary genetic algorithm is suggested. The cooperative coevolutionary genetic algorithm is used to optimize the fuzzy reasoning rules and the three proportional factors of the PID. The fuzzy reasoning system is used to calculate the variable values of PID parameters. To avoid the irregularity between the optimized rules, a smoothness factor is applied to the objective function. The simulation result shows that this method is valid.
出处
《华北电力大学学报（自然科学版）》
CAS
北大核心
2007年第1期89-93,110,共6页
Journal of North China Electric Power University：Natural Science Edition
关键词
水轮机调节系统
模糊自适应PID
协同进化遗传算法
光滑因子
hydraulic turbine governor
fuzzy self-modify PID
cooperative coevolutionary genetic algorithm
smoothness factor
