大时滞系统自适应模糊Smith控制

Self-adaptive Fuzzy-Smith Control for a Long Time-delay System

针对大时滞对象,把史密斯(Sm ith)预估控制原理和模糊控制器参数的自适应调整方法结合起来,即在Sm ith预估控制系统中,利用自适应机制在线整定模糊控制器的参数,即根据控制系统在各个阶段呈现出的不同特点来适时调节模糊控制器的量化和比例因子,以适应对象特性的变化。仿真研究表明,所提方法能有效克服普通模糊控制算法不适应大时滞系统控制和常规Sm ith算法过于依赖模型精度的缺陷,提高了普通模糊控制器对大滞后系统的控制能力。同时该算法还具有很强的鲁棒性和良好的控制品质。

Aiming at the long time - delay, the paper combines the Smith predictive control with self - adaptive fuzzy control, and utilizes self - adaptive method to tune parameters of fuzzy controller on - line. Namely, adjusting the scale and quantity factors of fuzzy controllers according to different characteristic of system presenting in different phases. Consequently, making the controller fit the diversification of object characteristic. Simulation shows that the presented method can effectively overcome limitations of common fuzzy control algorithm not fitting long time - delay system and general Smith algorithm depending on precision model excessively. At the same time, the self - adaptive fuzzy Smith control algorithm has strong robustness and better control performance.