摘要
针对远程网络运动控制系统中普遍存在的时滞问题,将模糊逻辑补偿算法引入传统PI控制器的设计,以消除闭环网络控制系统中由时滞引起的控制性能下降、系统不稳定等不利影响。以模糊补偿器调节PI控制器的输出,采用离线寻优与在线自适应相结合的方式,实现模糊逻辑条件参数与结论参数的全局自整定。以实时性要求较高的无刷直流电机为应用实例,仿真结果证明了该控制算法的有效性和可行性,该方法可使具有时滞特性的远程网络控制系统保持良好的动、静态特性和较强的抗干扰能力。
When using a remote networked control system, a network-induced time-delay is generated, which causes advert effects on the closed-loop networked control system such as performance degradation and system destabilization. In this paper, contraposing the time-delay commonly existing in the remote control system, an intelligent fuzzy logic compensator is introduced to design the traditional networked PI control system. In the full adaptive fuzzy parameter adjustment, off-line optimization and on-line adaptation are applied to the design of the controller, and not only the consequent parameters can be tuned adaptively, but also the membership functions in the antecedent part are tuned adaptively. Simulation results of a networked controlled Brushless DC motor is used to illustrate the effectiveness and feasibility of the proposed fuzzy PI control scheme.
出处
《电机与控制应用》
北大核心
2009年第8期33-36,共4页
Electric machines & control application
基金
国家重点基础研究发展计划(2005CB221505)
关键词
网络控制系统
模糊PI复合控制
时滞补偿
remote networked motion control system
fuzzy PI synthesis control
time-delay compensation
