基于觀測器的網(wǎng)絡控制系統(tǒng)鎮(zhèn)定和魯棒控制研究
發(fā)布時間:2018-06-05 07:32
本文選題:網(wǎng)絡控制系統(tǒng) + 變采樣周期; 參考:《鄭州大學》2017年碩士論文
【摘要】:網(wǎng)絡控制系統(tǒng)具有安裝成本低、便于維護等優(yōu)勢,在現(xiàn)代控制領域中得到了越來越廣泛的應用。網(wǎng)絡控制系統(tǒng)是一種分布式系統(tǒng),包含傳感器、執(zhí)行器、以及控制器等,各部件按照預定的傳輸協(xié)議通過網(wǎng)絡進行彼此間的通訊。由于通過網(wǎng)絡進行信息的傳遞,在網(wǎng)絡控制系統(tǒng)中存在傳輸時滯、信息包丟失等問題,為系統(tǒng)的分析和控制造成新的困難,網(wǎng)絡控制系統(tǒng)的建模與控制研究得到了越來越多控制理論和應用研究人員的關注。本文采用馬爾科夫鏈模型對網(wǎng)絡控制系統(tǒng)進行建模,進而研究其鎮(zhèn)定和魯棒控制問題,所取得的主要研究成果如下:1、對網(wǎng)絡控制系統(tǒng)中存在誘導時延、狀態(tài)不易測量等問題,提出一種基于狀態(tài)觀測器的均方指數(shù)鎮(zhèn)定控制器設計方法。利用變周期采樣方式對系統(tǒng)采樣,建立了系統(tǒng)的馬爾科夫跳變模型,得到閉環(huán)系統(tǒng)的均方指數(shù)穩(wěn)定性條件,最后給出了滿足線矩陣不等式形式的觀測器和控制器反饋增益的設計方法。數(shù)值算例和網(wǎng)絡環(huán)境下車擺系統(tǒng)的鎮(zhèn)定控制研究表明了控制器設計方案的有效性。2、研究了具有隨機時延與隨機干擾的網(wǎng)絡控制系統(tǒng)的魯棒鎮(zhèn)定控制問題。利用變周期采樣方式對系統(tǒng)采樣,在狀態(tài)轉移概率部分未知條件下建立了系統(tǒng)的馬爾科夫跳變模型,提出了基于狀態(tài)觀測器的魯棒控制器設計方案,分析了閉環(huán)系統(tǒng)的穩(wěn)定性和H_∞性能指標,最后給出了滿足線矩陣不等式形式的觀測器和控制器反饋增益的設計方法,數(shù)值算例和網(wǎng)絡環(huán)境下車擺系統(tǒng)的魯棒控制仿真研究驗證了所提出的魯棒鎮(zhèn)定控制方案的有效性。
[Abstract]:Network control system has been widely used in modern control field because of its advantages of low installation cost and easy maintenance. Network control system is a distributed system, which includes sensors, actuators, controllers and so on. The components communicate with each other through the network according to the predetermined transmission protocol. Due to the transmission of information through the network, there are some problems in the networked control system, such as delay of transmission and loss of information packet, which makes the analysis and control of the system more difficult. More and more researchers pay attention to the modeling and control of networked control systems. In this paper, the Markov chain model is used to model the networked control system, and then the stabilization and robust control problems are studied. The main research results are as follows: 1. There are some problems in the networked control system, such as induced delay, difficult to measure the state, and so on. A design method of mean square exponential stabilization controller based on state observer is proposed. The Markov jump model of the system is established by sampling the system with variable period sampling method, and the stability condition of the mean square exponent of the closed-loop system is obtained. Finally, the design method of observer and controller feedback gain satisfying linear matrix inequality is presented. Numerical examples and stabilization control of the system in the network environment show the effectiveness of the controller design scheme. The robust stabilization control problem of the networked control system with stochastic delay and stochastic disturbance is studied. By sampling the system with variable period sampling method, the Markov model of the system is established under the condition of partial unknown state transition probability, and a robust controller design scheme based on state observer is proposed. The stability and H _ 鈭,
本文編號:1981175
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