本文選題：混雜系統(tǒng)故障診斷　切入點：粒子濾波　出處：《北京交通大學(xué)》2017年碩士論文

【摘要】：混雜系統(tǒng)是指既包含連續(xù)動態(tài)特性,又包含離散動態(tài)特性,而且兩種動態(tài)特性相互作用的系統(tǒng)。一般規(guī)模比較大的自動控制系統(tǒng)都具有混雜特性,導(dǎo)致系統(tǒng)復(fù)雜并且可能出現(xiàn)多種多樣的故障,為了保證系統(tǒng)的正常運行和安全問題,必須有高效準(zhǔn)確的故障診斷方法;對于混雜系統(tǒng)這樣的非線性系統(tǒng),粒子濾波算法比卡爾曼濾波算法更具優(yōu)勢。本文研究了基于粒子濾波算法的混雜系統(tǒng)故障診斷問題,具體切入點為模型建立方案、混雜系統(tǒng)故障分類和具體故障診斷方法及其性能評定,對非線性系統(tǒng)故障診斷的方法進行了探究。本文所做主要工作如下:(1)分析了粒子濾波算法的粒子退化問題和重要性密度函數(shù)選擇問題,比較算法SIR和UPF的優(yōu)缺點,作為理論基礎(chǔ)。針對經(jīng)典的系統(tǒng)故障模型邏輯簡單、故障人工注入單一且不具備隨機性的特點,根據(jù)隨機混雜系統(tǒng)理論,建立了隨機混雜自動機(SHA)模型,模擬了更為復(fù)雜多樣的故障。(2)建立了水箱水位控制系統(tǒng)的隨機混雜自動機模型,對該系統(tǒng)出現(xiàn)的故障進行抽象、分類,總結(jié)為執(zhí)行故障、觀測故障、切換故障,并針對常用的模態(tài)—變量混雜系統(tǒng)粒子濾波估計方法難于應(yīng)用在復(fù)雜邏輯模型上的特點,提出了基于粒子濾波的混雜系統(tǒng)切換統(tǒng)計故障診斷方法,并進行了驗證。(3)為了能使模型表達能力更強,靈活度更高,本文引入了分層混雜系統(tǒng)理論,在理論的基礎(chǔ)上給出實現(xiàn)分層混雜系統(tǒng)理論的具體建模方法,提出了上層模態(tài)和子模態(tài)的概念,且在具體建模過程中發(fā)現(xiàn)上層模態(tài)切換出現(xiàn)斷層問題,提出中轉(zhuǎn)模態(tài)概念和方法進行解決,完成了分層混雜自動機建模。(4)建立了混雜系統(tǒng)受控遷移伴隨故障模型,利用SIR粒子濾波方法和平滑處理的思想方法對分層混雜系統(tǒng)的上層模態(tài)切換故障進行了故障診斷方法方案研究,并對其性能指標(biāo)進行分析對比。采用CTCS-3級列車運行控制系統(tǒng)等級轉(zhuǎn)換模型進行了說明驗證。
[Abstract]:Hybrid systems are systems that contain both continuous and discrete dynamic characteristics and interact with each other.Generally large automatic control systems have hybrid characteristics which lead to the complexity of the system and the possibility of a variety of faults. In order to ensure the normal operation and safety of the system there must be an efficient and accurate fault diagnosis method.For nonlinear systems such as hybrid systems, particle filter algorithm has more advantages than Kalman filter algorithm.In this paper, the problem of hybrid system fault diagnosis based on particle filter algorithm is studied. The starting point is modeling scheme, fault classification, fault diagnosis method and performance evaluation of hybrid system.The method of fault diagnosis for nonlinear system is discussed.The main work of this paper is as follows: 1) the particle degradation problem and the importance density function selection problem of particle filter algorithm are analyzed. The advantages and disadvantages of SIR and UPF are compared as the theoretical basis.In view of the simple logic of the classical system fault model, the single fault artificial injection and the lack of randomness, a stochastic hybrid automaton (SHA) model is established according to the stochastic hybrid system theory.The random hybrid automata model of water level control system of water tank is established by simulating more complex and varied faults. The faults of the system are abstracted, classified, summarized as execution faults, observed faults, and switched faults.Aiming at the difficulty of particle filter estimation in complex logic model, a new statistical fault diagnosis method for hybrid system switching based on particle filter is proposed.In order to make the model more expressive and flexible, the theory of hierarchical hybrid system is introduced in this paper. On the basis of the theory, a concrete modeling method is given to realize the theory of hierarchical hybrid system.The concepts of upper mode and sub mode are proposed, and the fault problem of upper modal switching is found in the process of modeling. The concept and method of transfer mode are proposed to solve the problem.The hierarchical hybrid automaton modeling. 4) the controlled migration associated fault model of hybrid system is established.In this paper, SIR particle filter method and smoothing method are used to study the fault diagnosis scheme of upper modal switching fault of hierarchical hybrid system, and its performance index is analyzed and compared.The class conversion model of CTCS-3 train operation control system is used to explain and verify.
【學(xué)位授予單位】：北京交通大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN713;TP273

【引證文獻】

相關(guān)期刊論文 前1條

1 張琪;張志利;李天梅;鄭建飛;;一種攝動粒子濾波故障檢測方法[J];電機與控制學(xué)報;2017年11期

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本文編號：1721557