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自寻优自调整模糊PID控制器的设计与仿真

     

摘要

关于优化控制器设计,针对常规模糊控制器,由于控制参数和控制规则的固定,造成控制性能不够理想的问题,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双重控制策略,以提高系统的控制性能.通过自寻优调节器,将积分性能指标作为寻优目标,根据系统响应中各阶段的误差和误差变化率进行自寻优,实现在线实时调整控制参数和控制规则.仿真研究表明,这种双管齐下的控制方法,具有较强的可行性,系统的自适应能力增强,实时控制性能明显得到改善.应用结果表明,系统的动态响应特性和稳态精度等都比较理想,能满足高精度控制的场合.%Conventional fuzzy controller can not achieve ideal control performance because of the fixed control parameters and control rules.To overcome the shortage, a dual control strategy is proposed, based on rules modifying and the combination of self - optimization of the control parameters and serf - adjustment of the control rules in order to improve the control performance of the system.Using integra]performance index as the optimizing objective, through the self-optimizing regulator, the'control parameters and control rules are adjusts online in real -time by self - optimization according to the error and error change of system response in each phase.Simulation results show that this two - pronged control strategy has strong feasibility, the adaptive ability of the system has been enhanced and the real - time control performance has been improved significantly.Application results show that the system has ideal dynamic response characteristics and steady precision, and can satisfy requirement of high precision control.

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