本文選題：多變量系統(tǒng)　切入點(diǎn)：非線(xiàn)性系統(tǒng)　出處：《西安科技大學(xué)》2017年碩士論文

【摘要】：煤礦井下排水系統(tǒng),是一個(gè)多輸入多輸出系統(tǒng),對(duì)此類(lèi)復(fù)雜系統(tǒng)的控制,成為當(dāng)前過(guò)程控制亟待解決的關(guān)鍵問(wèn)題,也對(duì)提高煤礦生產(chǎn)的安全性有著非常重要的作用。本文研究了基于煤礦井下排水系統(tǒng)的多變量非線(xiàn)性系統(tǒng)的控制方法。并針對(duì)煤礦井下排水系統(tǒng)來(lái)進(jìn)行相應(yīng)的控制,在相關(guān)井下排水理論模型基礎(chǔ)上,設(shè)計(jì)了相關(guān)的煤礦井下排水半實(shí)物仿真系統(tǒng),并據(jù)此對(duì)相應(yīng)的控制方法的精確性與可行性,在煤礦企業(yè)井下排水系統(tǒng)進(jìn)行了全面的分析。提出了基于神經(jīng)網(wǎng)絡(luò)的多變量非線(xiàn)性井下排水控制方法。在煤礦井下排水系統(tǒng)模型未知的情況下給出了相關(guān)的控制方法。采用神經(jīng)網(wǎng)絡(luò)補(bǔ)償非線(xiàn)性項(xiàng)對(duì)煤礦企業(yè)井下排水閉環(huán)系統(tǒng)的影響,采用多模型切換來(lái)處理井下排水系統(tǒng)動(dòng)態(tài)特性變化的影響。采用PID算法給出了一種基于神經(jīng)網(wǎng)絡(luò)的PID控制方法。當(dāng)上述井下排水系統(tǒng)的被控對(duì)象參數(shù)未知時(shí),將相關(guān)自適應(yīng)算法與非線(xiàn)性PID算法相結(jié)合,提出了一種新的控制算法,并驗(yàn)證本文提出方法的有效性。本文研究了基于煤礦企業(yè)井下排水系統(tǒng)的多變量非線(xiàn)性系統(tǒng)的控制方法,通過(guò)對(duì)煤礦企業(yè)井下排水這一復(fù)雜工業(yè)過(guò)程的仿真實(shí)驗(yàn),驗(yàn)證了本文所提出的控制方法是有效的以及具有可實(shí)現(xiàn)性。
[Abstract]:The underground drainage system of coal mine is a multi-input and multi-output system. The control of such complex system has become the key problem to be solved urgently in the process control. It also plays an important role in improving the safety of coal mine production. This paper studies the control method of multivariable nonlinear system based on underground drainage system of coal mine, and carries on the corresponding control to the underground drainage system of coal mine. Based on the theoretical model of underground drainage, the simulation system of underground drainage is designed, and the accuracy and feasibility of the corresponding control methods are analyzed. A comprehensive analysis of underground drainage system in coal mine enterprises is carried out. A multivariable nonlinear downhole drainage control method based on neural network is proposed. The related control is given when the model of underground drainage system in coal mine is unknown. Methods. Neural network is used to compensate for the influence of nonlinear term on underground drainage closed loop system in coal mine. Multi-model switching is used to deal with the influence of dynamic characteristics of underground drainage system. A neural network-based PID control method is presented by using PID algorithm. When the parameters of the control object of the underground drainage system are unknown, Combining the correlation adaptive algorithm with the nonlinear PID algorithm, a new control algorithm is proposed, and the validity of the proposed method is verified. In this paper, the control method of multivariable nonlinear system based on underground drainage system in coal mine is studied. Through the simulation experiment on the complex industrial process of underground drainage in coal mine enterprises, it is proved that the control method proposed in this paper is effective and realizable.
【學(xué)位授予單位】：西安科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TD744;TP273

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