改善模糊控制器动静态性能的分层模糊化方法

THE LAYERED FUZZIFICATION APPROACH TO IMPROVE THE DYNAMIC AND STATIC PERFORMANCE OF FUZZY CONTROLLER

本文提出也多层模糊控制器的，概念，揭示了模糊集合对于论域的相对性，采用偏差ｅ和偏差变化ｃ为输入．控制量ｕ为输出的简单间模糊控制器的主要缺点是不能同时兼承系统的动静态性能。这主要是因为对连续论域的等问隔量化（离散化）和有限的量化等级。多层模糊控制器能灵活地处理论域和量化问题。从而可以克服简单模糊控制器的缺点、仿真结果表明多层模糊控制器具有比简单模糊控制器优越的性能。

the relativity of fuzzy sets to the universe of discoures. Due to equally spaced quantization (discrehzation )and limited quanhzation levelv,ls, the main weakpoint of simple fuzzy controller (FC)that takes error(e) and change in error(c)(as inputs and control action(u) as output, is unable to meet both the requirements of dynamic and sstatic performance.LFC may flexibly deal with the problem of universe of discoures and quuatizahoon,,thus reduces the weakpoints of simple FC. The Simulation results verified the superiority of LFC to the simple FC.