一种自适应模糊控制系统的设计与仿真

Design and Simulation of a Self-adapt Fuzzy Control System

模糊控制是在模糊集合理论基础上发展起来的,模糊控制器的设计主要不依靠被控对象的数学模型,但它却非常依靠控制专家或操作人员的经验知识,若缺乏这样的控制经验,很难期望它能获得满意的控制效果.因此,模糊控制器应向着自适应、自组织、自学习发展,使得模糊控制参数或规则在控制过程中自动地调整、修改和完善,从而使系统的控制性能不断改善,达到最佳的控制效果.本文将表格查询学习算法和最近邻聚类学习算法采用加权平均的方法结合起来,确定系统的模糊控制规则,运用基于MATLAB环境下的“模糊推理工具箱”对自适应水位模糊控制系统进行了仿真,取得了很好的控制效果.

Fuzzy logic is based on the theory of fuzzy aggregation, its controller does not depend on math model of controlled object mostly, but it relies on experience and knowledge of experts or operators greatly, if such experience are lacked, it is very difficult to get satisfied result. Therefore fuzzy controller should be developed towards self-adapt, selforganization and self-study. It makes the rules and parameters adjust themselves automatically and makes them perfect finally so as to let the system perfect and achieve optimal result. In this paper tabulation-check study algorithms and clustering study algorithms are combined to produce the control rules. Using fuzzy logic toolbox under MATLAB to simulate water level self-adapt control system, we get a satisfving result.