Fuzzy Logic-Based Tuning of the Boundary Layer Thickness of the Variable Structure Controller
Fuzzy Logic-Based Tuning of the Boundary Layer Thickness of the Variable Structure Controller
复制标题
基于模糊逻辑的变结构控制器边界层厚度整定
DOI：
10.1080/10798587.1998.10750734
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发表时间：
1998
影响因子：
2
通讯作者：
Byung Kook Kim
中科院分区：
文献类型：
--
作者：
Byung;S. Kwak;Byung Kook Kim
变结构控制（VSC）是一种简单而强大的非线性控制器，但它会导致控制输入产生高频抖振。为了减少VSC的抖振现象，通常引入边界层。那么它的厚度需要在稳态误差和抖振幅度之间折衷。在本文中，我们提出了一种利用模糊逻辑系统来调整边界层厚度的VSC。所提出的整定方法有两种：一种是采用绝对误差及其导数作为模糊输入变量，与使用误差和误差变化的一般模糊变量相比，减少了整定规则的数量；另一个只使用一个距离的模糊变量。该变量由绝对误差及其导数组成的二维规则表的性质推导而来。由于第二种方法使用单个变量来调整厚度，因此大大减少了调整规则的数量。更进一步，我们得到g…
ABSTRACT The variable structure control (VSC) is a simple and powerful nonlinear controller, but it leads to a high frequency chattering on the control input. To decrease the chattering phenomenon of the VSC, a boundary layer is commonly introduced. Then its thickness requires a compromise between the steady state error and the chattering amplitude. In this paper, we propose a new VSC that tunes the boundary layer thickness using the fuzzy logic system. The tuning methods presented are two: One uses absolute error and its derivative as fuzzy input variables, which decreases the number of tuning rules as compared with using common fuzzy variables of error and change of error. The other uses only a single fuzzy variable of a distance. This variable is derived by the property of two-dimensional rule table which is composed of absolute error and its derivative. Since the second method uses a single variable for tuning the thickness, the number of tuning rules is greatly decreased. Furthermore, we obtain the g...