本文關(guān)鍵詞： 故障診斷 線性矩陣不等式 滑模控制 機(jī)電系統(tǒng)　出處：《湖南工業(yè)大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：機(jī)電系統(tǒng)作為實(shí)現(xiàn)工業(yè)過程自動化的基本單元，是應(yīng)用最為廣泛的子系統(tǒng)。隨著科學(xué)技術(shù)的進(jìn)步以及現(xiàn)代化水平的提高，在工業(yè)現(xiàn)場使用的大量機(jī)電系統(tǒng)結(jié)構(gòu)越來越復(fù)雜，自動化程度也越來越高，由于其使用的環(huán)境及工況等因素，使之發(fā)生故障的可能性越來越大，從而使對機(jī)電系統(tǒng)的故障診斷研究變得具有實(shí)際意義。 本文以機(jī)電系統(tǒng)為工程背景，以風(fēng)力發(fā)電系統(tǒng)和機(jī)器人等典型機(jī)電系統(tǒng)為具體對象，從提高對建模誤差或干擾的魯棒性，提高故障的診斷敏感性等幾個方面著手，對機(jī)電系統(tǒng)的非線性故障診斷問題開展深入研究。其主要研究工作與結(jié)論如下： 針對雙饋風(fēng)力發(fā)電系統(tǒng)空載并網(wǎng)過程中功率因數(shù)可能不為1的情況，建立了雙饋風(fēng)力發(fā)電系統(tǒng)空載并網(wǎng)的數(shù)學(xué)模型，并設(shè)計(jì)了積分型滑模變結(jié)構(gòu)控制器，最后通過PSIM仿真與實(shí)驗(yàn)臺實(shí)時實(shí)驗(yàn)證明了控制器的有效性。 針對雙饋風(fēng)力發(fā)電機(jī)中的傳感器故障，在考慮轉(zhuǎn)速擾動的情況下，設(shè)計(jì)了一種基于滑模觀測器與Luenberger觀測器相結(jié)合的故障診斷方法，最后通過仿真實(shí)驗(yàn)證明其方法的有效性。 針對一類機(jī)電系統(tǒng)的緩變故障，通過坐標(biāo)變換將此機(jī)電系統(tǒng)模型變換為兩個子系統(tǒng)，再利用滑模觀測器和Luenberger觀測器的互補(bǔ)性，分別對兩個子系統(tǒng)設(shè)計(jì)了觀測器，，實(shí)現(xiàn)了對微弱緩變故障的魯棒診斷。在設(shè)計(jì)中，通過充分利用LMI算法，以達(dá)到放寬設(shè)計(jì)中關(guān)鍵參數(shù)的選擇條件，從而對參數(shù)的求取更容易，使設(shè)計(jì)策略更具有實(shí)際可操作性。最后，將此故障診斷設(shè)計(jì)方法應(yīng)用到單關(guān)節(jié)機(jī)械手的實(shí)際案例中，通過仿真實(shí)驗(yàn)驗(yàn)證了所提方法的可行性和有效性。
[Abstract]:As the basic unit of realizing the automation of industrial process, electromechanical system is the most widely used subsystem. With the progress of science and technology and the improvement of modernization level, a large number of electromechanical system structures used in industrial field are becoming more and more complex. The degree of automation is becoming higher and higher. Because of the environment and working conditions, the possibility of fault is becoming more and more, so the research on fault diagnosis of electromechanical system becomes more and more important. Taking the electromechanical system as the engineering background and the typical electromechanical system such as wind power generation system and robot as the concrete object, this paper starts from several aspects, such as improving the robustness of modeling error or disturbance, improving the sensitivity of fault diagnosis and so on. In this paper, the nonlinear fault diagnosis of electromechanical system is studied. The main work and conclusions are as follows:. Aiming at the situation that the power factor may not be 1 in the no-load grid-connection process of doubly-fed wind power generation system, a mathematical model of no-load grid-connected doubly-fed wind power generation system is established, and an integral sliding mode variable structure controller is designed. Finally, the effectiveness of the controller is proved by PSIM simulation and real-time experiment. A fault diagnosis method based on sliding mode observer and Luenberger observer is designed for sensor faults in doubly-fed wind turbine. Finally, the effectiveness of the method is proved by simulation experiments. Aiming at a class of slow-varying faults of electromechanical system, the model of electromechanical system is transformed into two subsystems by coordinate transformation. Using the complementarity of sliding mode observer and Luenberger observer, the observer is designed for the two subsystems, respectively. The robust diagnosis of weak and slowly varying faults is realized. In the design, the selection conditions of key parameters are relaxed by making full use of the LMI algorithm, and it is easier to obtain the parameters. Finally, the fault diagnosis design method is applied to the actual case of single-joint manipulator, and the feasibility and effectiveness of the proposed method are verified by simulation experiments.
【學(xué)位授予單位】：湖南工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：TH165.3;TM614

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 馬祥華，沈水福，布昭元;齒輪故障診斷專家系統(tǒng)[J];北京科技大學(xué)學(xué)報;1994年05期

2 錢雅云;馬宏忠;;雙饋異步電機(jī)故障診斷方法綜述[J];大電機(jī)技術(shù);2011年05期

3 侯勇;童建東;;變速恒頻雙饋風(fēng)力發(fā)電機(jī)并網(wǎng)積分型變結(jié)構(gòu)控制[J];電機(jī)與控制學(xué)報;2008年03期

4 王建國;萬磊;孫玉山;姜大鵬;常文田;;基于觀測器的水下機(jī)器人魯棒故障診斷[J];大連海事大學(xué)學(xué)報;2009年04期

5 李輝;趙猛;趙斌;楊超;唐顯虎;;雙饋風(fēng)電機(jī)組轉(zhuǎn)速觀測及容錯控制策略[J];電力系統(tǒng)自動化;2011年01期

6 鄭雪梅;郭玲;徐殿國;王衛(wèi);;雙饋感應(yīng)發(fā)電機(jī)空載并網(wǎng)的高階滑�？刂撇呗訹J];電力系統(tǒng)自動化;2012年07期

7 周明明;李世華;;變速恒頻雙饋風(fēng)力發(fā)電機(jī)并網(wǎng)的復(fù)合控制[J];東南大學(xué)學(xué)報(自然科學(xué)版);2012年01期

8 鄭雪梅;李曉磊;任毅;何金梅;李秋明;;無源高階終端滑�？刂齐p饋風(fēng)力發(fā)電系統(tǒng)[J];電機(jī)與控制學(xué)報;2012年08期

9 張曉波;張新燕;王維慶;;用神經(jīng)網(wǎng)絡(luò)對風(fēng)力發(fā)電中電力電子故障分析[J];華東電力;2008年07期

10 王麗榮,甘永,徐玉如,萬磊;滑模觀測器在水下機(jī)器人推力器故障診斷中的應(yīng)用[J];哈爾濱工程大學(xué)學(xué)報;2005年04期

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