本论文讨论了当前国际、国内学术界的一个热点－智能控制领域内的模糊控制，提出了一种新的模糊控制器的设计－变论域、模糊规则切换模糊控制。在提高响应速度和实现无超调进行了有益的探索，并通过仿真实例说明了这一点。
本文的内容主要如下：
1．在普通的模糊控制系统中，考虑到模糊控制器实现的简易性，都是以系统误差和误差变化为输入变量，因此它具有类似于常规控制器的作用，该类模糊控制器有超调。
为了改善模糊控制器的控制特性，在模糊控制理论基础上，分析了模糊控制参数变论域对模糊控制响应的快速性和超调性的影响 。
2．从插值的观点看，模糊控制可以描述为插值函数，使其作为理想中响应函数()FX()fx上总结控制规则与得到的插值函数是等效的。
由插值得到的响应函数是否充分的逼近真实响应函数()FX()fx要看峰点之间的距离是否充分的小，这意味着控制规则要相当多，这对于依赖领域专家知识总结控制规则的模糊控制器来说是很困难的。
基于插值观点本文把变论域控制思想引入模糊控制，把量化因子的调节同输出联系起来，实现模糊控制系统模糊集论域随输出量的变化而压缩(峰点之间距离变小)或扩张(峰点之间距离变大)，相应地模糊控制的精度或反应速度随输出量的变化而变化，从而使模糊控制器的反应快速性有了提高，并且实现了无超调响应。
3．从规则库的角度分析。以往的模糊控制器是一旦确定规则库，那只是在单规则库中进行调节，本文考虑的是根据输出量的变化，规则库也相应的变化，实现多规则库控制。从而提高了系统的响应时间和实现了系统更加快速达到稳态。
The improvement of fuzzy controller based on rules
Abstract
The paper discussed one of international and domestic academic hot spots - the fuzzy control of intelligence control field, and proposed a kind of new fuzzy controller – varying the universe and switch rules fuzzy control. Having carried on the beneficial exploration in the speeding up of response and the realization without the over adjusting, and having established a new fuzzy controller based on it.
This article designs the content as followed:
1. In the usual fuzzy control system, considering the fuzzy controller simplicity, all is taking the system error and the erroneous change as the input, therefore it is similar to the conventional controller of PD. This kind of fuzzy controller has the over adjusting.
In order to improve the fuzzy controller’s characteristic, we had analyzed the influence of controller variable universe to the fuzzy control’s response rapidity and the over adjusting.
2. Looking from the interpolation theory, the fuzzy control may be described in the interpolating function F(X). It is equivalent with its ideal response function summarizing the control rules with the interpolating function f(x).
Responding function is full approaching the real response function or not need the peak between two distance smaller. This means the control rules must be quite many, and this is very difficult because of the fuzzy controller depending expert knowledge..
Based on interpolation viewpoint, this article added the control thought changing universe in fuzzy controller. It related quantification factor error with the output, and also realized fuzzy control system’s universe compressing (the peak changing to smaller) or expanding (the peak distance changing in a bigger way). Correspondingly, the fuzzy control precision and the reaction rate changed along with the output changing.
Thus we enabled the fuzzy controller’s response rapidity speeding up and have realized the non- over adjusting response.
3. Analyzing from changing rules.The former fuzzy controller is that once we have defined the rules, which only is carried on the adjusting in the single rule. This article is that reacting is changing according to the output changing, then rules also corresponding changing.
Thus we can make the system responding time speeding up and also realize the system faster to achieve balance.
目录
摘要...............................................................................................................................I
Abstract.......................................................................................................................II
第1章 绪论................................................................................................................1
1.1 课题研究的来源、目的和背景......................................................................1
1.1.1 课题研究的来源......................................................................................1
1.1.2 课题研究的目的......................................................................................1
1.1.3 课题研究的背景......................................................................................1
1.2 本文主要的工作..............................................................................................1
第2章 模糊控制理论的基础....................................................................................3
2.1 控制理
