本文關(guān)鍵詞： 泡生法 藍(lán)寶石晶體 模糊神經(jīng)網(wǎng)絡(luò) 智能控制　出處：《浙江理工大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

【摘要】：人造藍(lán)寶石晶體是以高純度的Al2O3粉末為原料,加熱熔化并通過籽晶降溫提拉使其再結(jié)晶的過程。泡生法是人造藍(lán)寶石晶體的一種方法,也是國內(nèi)生產(chǎn)藍(lán)寶石晶體的主流方法。目前國內(nèi)泡生法藍(lán)寶石晶體生長設(shè)備大多都是人工控制,需花費(fèi)大量人力資源,并且人工水平參差不齊,不能保證每一爐晶體的質(zhì)量。將泡生法藍(lán)寶石生長設(shè)備與智能控制算法相結(jié)合,在降低生產(chǎn)成本的同時(shí)還可穩(wěn)定晶體生長質(zhì)量,是目前行業(yè)發(fā)展的重點(diǎn)所在。本文以模糊神經(jīng)網(wǎng)絡(luò)算法為基礎(chǔ),研究設(shè)計(jì)一種模糊神經(jīng)網(wǎng)絡(luò)控制器并將其與泡生法藍(lán)寶石長晶爐相結(jié)合,從而實(shí)現(xiàn)自動(dòng)控制泡生法藍(lán)寶石長晶。模糊神經(jīng)網(wǎng)絡(luò)繼承了模糊算法與神經(jīng)網(wǎng)絡(luò)各自的優(yōu)點(diǎn),可實(shí)現(xiàn)對任意非線性系統(tǒng)的逼近。本文主要研究內(nèi)容和研究結(jié)果如下:1、通過對泡生法藍(lán)寶石長晶爐的長晶過程以及設(shè)備結(jié)構(gòu)的研究,分析了各個(gè)變量對長晶過程的影響,選取合適的控制變量,并根據(jù)自身實(shí)際操作經(jīng)驗(yàn)與相關(guān)專家經(jīng)驗(yàn),對泡生法藍(lán)寶石長晶過程進(jìn)行歸納,得出相應(yīng)模糊規(guī)則。以此為基礎(chǔ)設(shè)計(jì)了模糊神經(jīng)網(wǎng)絡(luò)控制器。2、對所設(shè)計(jì)的模糊神經(jīng)網(wǎng)絡(luò)控制器進(jìn)行仿真,以實(shí)際采集到的生長數(shù)據(jù)對控制器進(jìn)行訓(xùn)練,并用訓(xùn)練完成的控制器進(jìn)行預(yù)測,對控制器的效果進(jìn)行驗(yàn)證,分析該模糊神經(jīng)網(wǎng)絡(luò)控制器的可行性。3、以所設(shè)計(jì)的模糊神經(jīng)網(wǎng)絡(luò)控制器為基礎(chǔ),從硬件選型方面著手,逐步搭建設(shè)備,并編寫上位機(jī)控制軟件,將控制器應(yīng)用到實(shí)際生產(chǎn)過程中,對所設(shè)計(jì)的控制器控制效果進(jìn)行實(shí)際驗(yàn)證。本文設(shè)計(jì)了以模糊神經(jīng)網(wǎng)絡(luò)算法為基礎(chǔ)的控制器,并從理論仿真及實(shí)際應(yīng)用兩個(gè)角度對該控制器的控制效果進(jìn)行了驗(yàn)證,在人造藍(lán)寶石自動(dòng)化領(lǐng)域有一定的價(jià)值。
[Abstract]:The synthetic sapphire crystal is a process of heating and melting with high purity Al2O3 powder and recrystallization by lowering the temperature of seeded sapphire crystal, which is a kind of method of synthetic sapphire crystal. It is also the mainstream method of producing sapphire crystals in China. At present, most of the domestic equipment for the growth of sapphire crystals are controlled manually, requiring a large amount of human resources and varying levels of manpower. The quality of every crystal can not be guaranteed. By combining the Bubble Sapphire growth equipment with the intelligent control algorithm, the quality of crystal growth can be stabilized while reducing the production cost. This paper studies and designs a fuzzy neural network controller based on fuzzy neural network algorithm and combines it with sapphire long crystal furnace. The fuzzy neural network inherits the advantages of fuzzy algorithm and neural network. The main contents and results of this paper are as follows: 1. By studying the long crystal process and the equipment structure of the sapphire long crystal furnace, the influence of various variables on the long crystal process is analyzed. Selecting appropriate control variables, and according to its own practical operation experience and relevant expert experience, the long crystal process of Bubble Sapphire method is summarized. The corresponding fuzzy rules are obtained. Based on this, the fuzzy neural network controller .2is designed, and the designed fuzzy neural network controller is simulated, and the controller is trained by the actual growth data. The effect of the fuzzy neural network controller is verified, and the feasibility of the fuzzy neural network controller is analyzed. Based on the designed fuzzy neural network controller, the hardware selection of the controller is introduced. The equipment is built step by step, and the control software of the upper computer is written. The controller is applied to the actual production process, and the control effect of the designed controller is verified. The controller based on the fuzzy neural network algorithm is designed in this paper. The control effect of the controller is verified from two aspects of theoretical simulation and practical application, and it has certain value in the field of artificial sapphire automation.
【學(xué)位授予單位】：浙江理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TQ164.2;TP183

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