非线性纯反馈自适应模糊控制系统研究
发布时间：2018-09-12 15:59
【摘要】：自适应模糊控制是解决复杂非线性系统建模和控制问题的一种行之有效的方法.由于模糊系统具有万能逼近特性,不确定非线性系统的自适应模糊控制已经成为国际自动控制领域近年来一个活跃的研究方向.随着相关学科的发展,利用模糊控制的优点解决过去用常规方法难以解决的问题具有重要的理论意义.本文主要工作如下:第一部分,介绍了本文研究内容的背景及基本知识.第二部分,针对一类带有死去输出不确定非线性纯反馈系统,提出一种自适应模糊控制方法.与已有的方法相比较,这个方法是用模糊系统去逼近系统的未知函数.基于李雅普诺夫稳定性分析方法,提出的方法保证了闭环系统所有信号是一致有界的并且跟踪误差估计值收敛到一个小的零邻域内.仿真结果表明了该算法的有效性和可行性.第三部分,通过运用自适应反推技术,本文针对带有动态扰动项的非线性纯反馈系统,提出了一种自适应模糊控制方案.所提出的的控制方案直接利用模糊逻辑系统逼近未知的虚拟控制信号,不仅保证系统内所有的信号在闭环系统是有界的,而且通过选择合适的设计参数,使得追踪误差收敛于与原点的一个小邻域内.最后,仿真实例证明了方案的有效性.
[Abstract]:Adaptive fuzzy control is an effective method to solve the modeling and control problems of complex nonlinear systems. Due to the universal approximation property of fuzzy systems, adaptive fuzzy control for uncertain nonlinear systems has become an active research direction in the field of international automatic control in recent years. With the development of related disciplines, it is of great theoretical significance to use the advantages of fuzzy control to solve problems that were difficult to solve by conventional methods in the past. The main work of this paper is as follows: in the first part, the background and basic knowledge of this paper are introduced. In the second part, an adaptive fuzzy control method is proposed for a class of nonlinear pure feedback systems with dead output uncertainties. Compared with the existing method, the fuzzy system is used to approximate the unknown function of the system. Based on Lyapunov stability analysis method, the proposed method ensures that all signals of the closed-loop system are uniformly bounded and the tracking error estimates converge to a small zero neighborhood. Simulation results show the effectiveness and feasibility of the algorithm. In the third part, an adaptive fuzzy control scheme is proposed for nonlinear pure feedback systems with dynamic disturbances by using adaptive backstepping technique. The proposed control scheme uses the fuzzy logic system to approach the unknown virtual control signal directly, which not only ensures that all the signals in the system are bounded in the closed-loop system, but also selects the appropriate design parameters. The tracking error converges to a small neighborhood with the origin. Finally, a simulation example shows the effectiveness of the scheme.
【学位授予单位】：山东科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273
本文编号：2239519
[Abstract]:Adaptive fuzzy control is an effective method to solve the modeling and control problems of complex nonlinear systems. Due to the universal approximation property of fuzzy systems, adaptive fuzzy control for uncertain nonlinear systems has become an active research direction in the field of international automatic control in recent years. With the development of related disciplines, it is of great theoretical significance to use the advantages of fuzzy control to solve problems that were difficult to solve by conventional methods in the past. The main work of this paper is as follows: in the first part, the background and basic knowledge of this paper are introduced. In the second part, an adaptive fuzzy control method is proposed for a class of nonlinear pure feedback systems with dead output uncertainties. Compared with the existing method, the fuzzy system is used to approximate the unknown function of the system. Based on Lyapunov stability analysis method, the proposed method ensures that all signals of the closed-loop system are uniformly bounded and the tracking error estimates converge to a small zero neighborhood. Simulation results show the effectiveness and feasibility of the algorithm. In the third part, an adaptive fuzzy control scheme is proposed for nonlinear pure feedback systems with dynamic disturbances by using adaptive backstepping technique. The proposed control scheme uses the fuzzy logic system to approach the unknown virtual control signal directly, which not only ensures that all the signals in the system are bounded in the closed-loop system, but also selects the appropriate design parameters. The tracking error converges to a small neighborhood with the origin. Finally, a simulation example shows the effectiveness of the scheme.
【学位授予单位】：山东科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP273
【参考文献】
相关博士学位论文 前2条
1 康强;不确定非线性系统的自适应模糊控制[D];大连理工大学;2009年
2 刘艳军;非线性系统自适应模糊控制算法的研究[D];大连理工大学;2007年
，本文编号：2239519
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