非線性純反饋自適應模糊控制系統(tǒng)研究
發(fā)布時間：2018-09-12 15:59
【摘要】：自適應模糊控制是解決復雜非線性系統(tǒng)建模和控制問題的一種行之有效的方法.由于模糊系統(tǒng)具有萬能逼近特性,不確定非線性系統(tǒng)的自適應模糊控制已經(jīng)成為國際自動控制領(lǐng)域近年來一個活躍的研究方向.隨著相關(guān)學科的發(fā)展,利用模糊控制的優(yōu)點解決過去用常規(guī)方法難以解決的問題具有重要的理論意義.本文主要工作如下:第一部分,介紹了本文研究內(nèi)容的背景及基本知識.第二部分,針對一類帶有死去輸出不確定非線性純反饋系統(tǒng),提出一種自適應模糊控制方法.與已有的方法相比較,這個方法是用模糊系統(tǒng)去逼近系統(tǒng)的未知函數(shù).基于李雅普諾夫穩(wěn)定性分析方法,提出的方法保證了閉環(huán)系統(tǒng)所有信號是一致有界的并且跟蹤誤差估計值收斂到一個小的零鄰域內(nèi).仿真結(jié)果表明了該算法的有效性和可行性.第三部分,通過運用自適應反推技術(shù),本文針對帶有動態(tài)擾動項的非線性純反饋系統(tǒng),提出了一種自適應模糊控制方案.所提出的的控制方案直接利用模糊邏輯系統(tǒng)逼近未知的虛擬控制信號,不僅保證系統(tǒng)內(nèi)所有的信號在閉環(huán)系統(tǒng)是有界的,而且通過選擇合適的設計參數(shù),使得追蹤誤差收斂于與原點的一個小鄰域內(nèi).最后,仿真實例證明了方案的有效性.
[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.
【學位授予單位】：山東科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP273
本文編號：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.
【學位授予單位】：山東科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP273
【參考文獻】
相關(guān)博士學位論文 前2條
1 康強;不確定非線性系統(tǒng)的自適應模糊控制[D];大連理工大學;2009年
2 劉艷軍;非線性系統(tǒng)自適應模糊控制算法的研究[D];大連理工大學;2007年
，本文編號：2239519
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