本文選題：網(wǎng)絡(luò)控制系統(tǒng) + 通信受限�。� 參考：《鄭州大學(xué)》2017年碩士論文

【摘要】：隨著通信技術(shù)的進步和控制系統(tǒng)規(guī)模的擴大,數(shù)字網(wǎng)絡(luò)被用來傳輸控制系統(tǒng)各節(jié)點間信息,網(wǎng)絡(luò)控制系統(tǒng)便由此誕生。與點對點傳輸模式的控制系統(tǒng)相比,網(wǎng)絡(luò)控制系統(tǒng)的布線較少、安裝簡單、信息共享并且系統(tǒng)的擴展和維護比較方便。然而,由于帶寬的限制,作為傳輸信息媒介的網(wǎng)絡(luò)會帶來時延、通信受限、數(shù)據(jù)包丟失等問題,這些因素必然會影響系統(tǒng)性能,甚至?xí)斐上到y(tǒng)不穩(wěn)定。網(wǎng)絡(luò)控制系統(tǒng)在生活的各個方面都有應(yīng)用,故障的出現(xiàn)會給人們帶來極大的影響,及時檢測出系統(tǒng)的故障并報警顯得尤為重要。由于網(wǎng)絡(luò)控制系統(tǒng)中采用數(shù)字網(wǎng)絡(luò)作為節(jié)點間信息的傳輸媒介,在相應(yīng)的研究和設(shè)計中需要將連續(xù)系統(tǒng)進行離散化。現(xiàn)有文獻大多數(shù)使用移位算子的方法對系統(tǒng)進行離散化,而在高速采樣的情況下,利用移位算子離散得到的系統(tǒng)并不趨近于離散前的連續(xù)系統(tǒng),并且其極點不完全在穩(wěn)定環(huán)內(nèi),使用Delta算子離散化方法則能避免這種缺點。采用Delta算子方法結(jié)合網(wǎng)絡(luò)帶來的問題對網(wǎng)絡(luò)控制系統(tǒng)進行分析和設(shè)計,是目前的研究熱點和重點。本文是作者對參加的河南省教育廳技術(shù)研究重點資助項目《網(wǎng)絡(luò)環(huán)境下基于Delta算子的故障檢測與濾波方法》(項目編號:14A120004),和國家自然科學(xué)基金資助項目《高速采樣網(wǎng)絡(luò)系統(tǒng)故障檢測與濾波的統(tǒng)一方法》(項目編號:61471323)所做研究的總結(jié)。本文采用Delta離散化方法研究了通信受限和丟包環(huán)境下網(wǎng)絡(luò)系統(tǒng)故障檢測的問題,創(chuàng)新點和研究成果如下:(1)針對具有通信受限和數(shù)據(jù)包丟失的Delta算子系統(tǒng),設(shè)計故障檢測觀測器。采用通信序列的方法解決通信約束,使用馬爾科夫鏈描述系統(tǒng)的丟包,將所研究的系統(tǒng)建模為馬爾科夫切換系統(tǒng)。利用隨機穩(wěn)定性理論和線性矩陣不等式(LMIs)工具箱,得到系統(tǒng)具有隨機穩(wěn)定性和H_∞性能的故障觀測器的增益值。(2)在上一研究的基礎(chǔ)上,把系統(tǒng)的時延考慮在內(nèi),建立通信受限和丟包現(xiàn)象同時存在于傳感器到控制器、控制器到執(zhí)行器鏈路的時延Delta算子模型。設(shè)計濾波器進行參數(shù)估計,從而產(chǎn)生殘差系統(tǒng)。使用Delta域的Lyapunov泛函數(shù)技術(shù)和線性矩陣不等式(LMIs)工具箱,得到系統(tǒng)滿足漸近穩(wěn)定性和H_∞性能的充分條件。并用凸優(yōu)化方法求其相應(yīng)的解,對算法的可行性進行仿真驗證。(3)研究了通訊約束和丟包情況下時延網(wǎng)絡(luò)控制系統(tǒng)魯棒故障檢測的問題。將系統(tǒng)建模為參數(shù)不確定的Delta算子模型,使用狀態(tài)反饋控制律方法和MultiLyapunov函數(shù)技術(shù)設(shè)計滿足漸近穩(wěn)定和H_∞性能的故障檢測濾波器。并在現(xiàn)有的評價函數(shù)和閾值的基礎(chǔ)上提出新的故障檢測的標(biāo)準(zhǔn)。通過仿真對比,所設(shè)計的算法對故障檢測有魯棒性和更好的實時性。
[Abstract]:With the development of communication technology and the expansion of control system scale, digital network is used to transmit information between nodes of control system, and network control system is born. Compared with the control system with point-to-point transmission mode, the network control system has less wiring, simple installation, information sharing and easy system expansion and maintenance. However, due to the limitation of bandwidth, the network as a transmission information medium will bring delay, limited communication, packet loss and other problems. These factors will inevitably affect the performance of the system, and even lead to system instability. Network control system has been applied in every aspect of life. The emergence of fault will bring great influence to people. It is very important to detect the fault and alarm in time. Because the digital network is used as the transmission medium of the information between nodes in the networked control system, it is necessary to discretize the continuous system in the corresponding research and design. In most references, the shift operator is used to discretize the system. In the case of high speed sampling, the discrete system obtained by shift operator does not approach the continuous system before discretization, and its poles are not completely in the stable loop. This shortcoming can be avoided by using Delta operator discretization method. Using Delta operator method to analyze and design the networked control system combined with the problems brought by the network is the focus of research at present. This paper is about the key technical research project of Henan Provincial Education Department < Fault Detection and filtering method based on Delta operator in Network Environment "(Project No.: 14A120004, and National Natural Science Foundation of China < High-Speed sampling)" "the unified method of fault detection and filtering in network system." Summary of research done by item No.: 61471323. In this paper, Delta discretization method is used to study the problem of network system fault detection in communication constrained and packet loss environments. The innovations and research results are as follows: 1) for Delta operator systems with communication limitation and packet loss, a fault detection observer is designed. The method of communication sequence is used to solve the communication constraint, and the Markov chain is used to describe the packet loss of the system, and the studied system is modeled as Markov switching system. By using the stochastic stability theory and the linear matrix inequality (LMI) toolbox, the gain value of the fault observer with stochastic stability and H _ 鈭，

本文編號：1873760