带有伸缩器和饱和器的模糊自适应控制设计方法研究

项目名称： 带有伸缩器和饱和器的模糊自适应控制设计方法研究

项目编号： No.61305098

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 范永青

作者单位： 西安邮电大学

项目金额： 25万元

中文摘要： 本项目以模糊自适应控制应用为背景,以已经得到的模糊逻辑系统为出发点,首先研究如何利用带有可调参数的伸缩器和饱和器来改造模糊逻辑系统,形成扩展模糊逻辑系统,然后基于这种扩展模糊逻辑系统，研究几类非线性不确定系统的自适应镇定控制器和跟踪控制器的设计方法。这种方法的特点是：自适应律构造只依赖于伸缩器和饱和器的参数及原模糊逻辑系统逼近精度估计的在线调节,控制器的构造只依赖于扩展模糊逻辑系统的输出值,不涉及原模糊逻辑系统的具体逻辑推理结构和输出结构形式。因而这种方法适用于多种形式的模糊逻辑系统。研究结果有助于充分利用模糊逻辑系统的语言可解释性和多种逻辑推理功能，设计非线性不确定系统的自适应控制器,为模糊控制的实际应用提供一种新的理论方法。

中文关键词： 伸缩器；饱和器；模糊逻辑系统；自适应控制；

英文摘要： The fuzzy adaptive control is considered in this project with practical background and existing fuzzy logic systems as a starting point. Firstly, the existing fuzzy logic systems are reformed by using scaler and saturator with adjustable parameters, which forms a new extended fuzzy logic systems, and then adaptive stabilization and tracking controllers are proposed in this project for some classes of nonlinear uncertain systems based on the extended fuzzy logic systems. The common characteristic of the methods in this project is that adaptive laws are constructed only in according to parameters of scaler,saturator and approximation precision of original fuzzy logic systems, and the controllers are synthesized only in consideration of outputs of extended fuzzy logic systems. The methods proposed in this project have no relation to reasoning logic structures and output forms of original fuzzy logic systems. Therefore, the methods proposed in this project are suitable to various forms of fuzzy logic systems. The results of this project may be helpful to design adaptive controllers by using language interpretability and many kinds of fuzzy inferences for fuzzy logic systems. This project may provide a novel theoretical method for the practical applications of fuzzy control.

英文关键词： scaler；saturator；fuzzy logic system；adaptive control；