一种自组织模糊控制算法及其实现

STUDY AND ACCOMPLISHMENT OF A SELF ORGANIZING FUZZY CONTROL ALGORITHM

提出了一个能在控制过程中自动产生和修改模糊控制决策表的自组织模糊控制算法．该算法不执行矩阵运算，只是在采样计算时修改关系矩阵相应元素，并按照自学习方法修改控制表中相应的控制量，从而建立起完善的模糊控制表．用该算法对多个被控对象进行仿真试验，表明能有效地提高系统的控制性能，对于高阶、非线性、大滞后这类复杂的系统也有效．

This paper presents a new self organizing fuzzy control algorithm which can generate and modify the fuzzy control decision table automatically during the control period.This algorithm dont execute fuzzy relationship matrix operation.It only modify the corresponding element of relationship matrix when sampling and computing,and modify corresponding control variable of control table based on self learn nethod to build perfect fuzzy control table.The simulation results show that the algorithm possesses a quite strong ability to improve the system control performance significantly,and it can be applied to some complex system,such as systems with high order and non linearity or large time lag.