【摘要】：目前，國(guó)內(nèi)大中型燒結(jié)機(jī)都具備了過(guò)程檢測(cè)和設(shè)備控制能力，當(dāng)務(wù)之急就是研究和開發(fā)燒結(jié)過(guò)程控制方法，開發(fā)出我們國(guó)家自主知識(shí)產(chǎn)權(quán)的燒結(jié)過(guò)程自動(dòng)控制系統(tǒng)。 本文是基于日照鋼鐵控股集團(tuán)有限公司燒結(jié)自動(dòng)控制系統(tǒng)基礎(chǔ)上，通過(guò)查閱大量的參考文獻(xiàn)和對(duì)現(xiàn)場(chǎng)燒結(jié)工藝的熟悉了解，對(duì)燒結(jié)系統(tǒng)的儀器儀表選型標(biāo)準(zhǔn)以及PLC以及上位機(jī)的軟硬件結(jié)構(gòu)、網(wǎng)絡(luò)通信等有了更深一步的認(rèn)識(shí)。結(jié)合配料現(xiàn)場(chǎng)的工藝要求和控制說(shuō)明，最終完成了配料自動(dòng)控制系統(tǒng)硬件的選型及安裝調(diào)試和軟件上的編程。 在實(shí)際生產(chǎn)過(guò)程中對(duì)燒結(jié)終點(diǎn)的控制，由于受到料層透氣性性或者設(shè)備缺陷的影響，很難直接得到理想的燒結(jié)終點(diǎn)的位置，從而無(wú)法實(shí)現(xiàn)燒結(jié)終點(diǎn)的閉環(huán)控制。本文引入了模糊小波神經(jīng)網(wǎng)絡(luò)，提出了多尺度小波逼近方法采用了前饋和反饋相結(jié)合的模糊控制系統(tǒng)。借鑒國(guó)內(nèi)外模糊控制模型，論文中基于現(xiàn)場(chǎng)所得到的風(fēng)箱廢氣溫度曲線，，采用模糊小波神經(jīng)網(wǎng)絡(luò)的控制算法對(duì)燒結(jié)終點(diǎn)進(jìn)行預(yù)測(cè)，建立了燒結(jié)機(jī)的簡(jiǎn)易模型，在假定該模型能夠較穩(wěn)定模擬的燒結(jié)機(jī)運(yùn)行狀況下，通過(guò)Matlab進(jìn)行建模仿真，并與Elman神經(jīng)網(wǎng)絡(luò)預(yù)測(cè)控制進(jìn)行對(duì)比。仿真結(jié)果表明，從理論上證明了對(duì)燒結(jié)終點(diǎn)的預(yù)測(cè)控制算法要優(yōu)于Elman神經(jīng)網(wǎng)絡(luò)控制算法。
[Abstract]:At present, large and medium-sized sintering machines in China have the capability of process detection and equipment control. It is urgent to study and develop the sintering process control method and develop the sintering process automatic control system of our country's independent intellectual property rights. This paper is based on the automatic sintering control system of Rizhao Iron and Steel holding Group Co., Ltd., through consulting a large number of references and familiar with the field sintering process. It also has a deeper understanding of the instrument selection standard of sintering system, the hardware and software structure of PLC and host computer, network communication and so on. Combined with the process requirements and control instructions, the hardware selection, installation, debugging and software programming of the automatic proportioning control system were completed. Due to the influence of the permeability of the material layer or the defect of the equipment, it is difficult to obtain the ideal position of the sintering end point directly in the actual production process, so that the closed loop control of the sintering end point can not be realized. In this paper, a fuzzy wavelet neural network is introduced, and a multiscale wavelet approximation method is proposed, which combines feedforward and feedback. Referring to the fuzzy control model at home and abroad, the paper uses fuzzy wavelet neural network control algorithm to predict the sintering end point, and establishes a simple model of sintering machine based on the temperature curve of bellows exhaust gas, which is obtained from the field, and the control algorithm of fuzzy wavelet neural network is used to predict the sintering end point. Under the condition that the model can be simulated stably, the model is modeled and simulated by Matlab and compared with Elman neural network predictive control. The simulation results show that the predictive control algorithm for the sintering end point is superior to the Elman neural network control algorithm in theory.
【學(xué)位授予單位】：河北工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP273.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 吳勝利;陳東峰;趙成顯;薛方;;基于燒結(jié)過(guò)程各帶遷移規(guī)律的燒結(jié)終點(diǎn)預(yù)報(bào)方法[J];北京科技大學(xué)學(xué)報(bào);2009年09期

2 王亞剛;邵惠鶴;;自整定PID控制器的研究綜述[J];電氣自動(dòng)化;2000年01期

3 王宏文;蔣君杰;吳玲玲;唐永學(xué);;WinCC監(jiān)控系統(tǒng)在燒結(jié)過(guò)程中的應(yīng)用[J];河北工業(yè)大學(xué)學(xué)報(bào);2011年01期

4 李明河,王群京,孫雁飛;基于神經(jīng)網(wǎng)絡(luò)的燒結(jié)終點(diǎn)預(yù)報(bào)的研究[J];合肥工業(yè)大學(xué)學(xué)報(bào)(自然科學(xué)版);2004年06期

5 李桃,馮其明,范曉慧,姜濤;基于自組織神經(jīng)網(wǎng)絡(luò)的燒結(jié)終點(diǎn)自適應(yīng)預(yù)報(bào)系統(tǒng)的開發(fā)[J];計(jì)算機(jī)工程與應(yīng)用;2001年06期

6 王海東,邱冠周,黃圣生;燒結(jié)過(guò)程控制技術(shù)的發(fā)展[J];礦冶工程;1999年03期

7 袁廷奇,劉文江;基于Haar小波變換的連續(xù)時(shí)間系統(tǒng)魯棒參數(shù)辨識(shí)[J];控制與決策;2000年03期

8 鄭軍,顏文俊,諸靜;基于小波逼近和尺度變換的非參數(shù)辨識(shí)方法[J];控制與決策;2004年10期

9 吳為民;燒結(jié)混合料水分檢測(cè)及智能控制系統(tǒng)[J];燒結(jié)球團(tuán);1997年04期

10 胡長(zhǎng)慶,張玉柱;燒結(jié)過(guò)程中的傳輸理論[J];燒結(jié)球團(tuán);2000年03期

相關(guān)博士學(xué)位論文 前2條

1 王春生;鉛鋅燒結(jié)配料過(guò)程的智能集成建模與優(yōu)化控制策略研究[D];中南大學(xué);2008年

2 李洋;小波過(guò)程神經(jīng)網(wǎng)絡(luò)相關(guān)理論及其應(yīng)用研究[D];哈爾濱工業(yè)大學(xué);2008年

本文編號(hào)：2334491