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作 者:马祥兴[1]
出 处:《计算机仿真》2011年第4期216-220,共5页Computer Simulation
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 self-adjustment of the control rules in order to improve the control performance of the system.Using integral 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.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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