自寻优模糊PID控制器的控制参数和规则

Self-optimize Control parameters and Control rules of Fuzzy PID Controller

针对常规模糊控制器,由于控制参数和控制规则的固定,不能满足实时控制需要的问题,提出了一种基于规则修改的、采用控制参数自寻优和控制规则自调整相结合的控制方法。通过自寻优调节器,根据系统响应中各阶段的误差和误差变化,利用积分性能指标作为寻优目标,在线实时调整控制参数和控制规则,从而改善系统的控制性能。仿真研究表明,这种双管齐下的控制策略,自适应能力强,实时控制性能好。应用结果表明,系统的动态响应特性和稳态精度等有明显的改善,能满足高精度控制的场合。

According to the shortage that conventional fuzzy controller can not meet the need of real-time control because of the fixing of the control parameters and control rules,a control method of rule-based modification is proposed which uses the combinationof self-optimization of the control parameters and self-adjustment of the control rules. Through the self-optimizing regulator,according to the error and error change of system response in each phase,using integral performance index as the optimizing objective,itadjusts real-time the control parameters and control rules online,thereby improves the control performance of the system. Simulation results show that this two -pronged control strategy has good adaptive ability and real-time control performance. Application results show that the dynamic response characteristics and steady precision of the system has improved significantly,and can satisfy highprecision control of the situation.