模糊神經(jīng)網(wǎng)絡(luò)控制算法在回轉(zhuǎn)窯燃燒系統(tǒng)中的應(yīng)用

本文討論了模糊神經(jīng)網(wǎng)絡(luò)控制（FNNC）方法在回轉(zhuǎn)窯煤粉噴吹系統(tǒng)上的應(yīng)用，提出了一
種使回轉(zhuǎn)窯生產(chǎn)線上用于加熱的煤粉噴吹系統(tǒng)在生產(chǎn)過程中能夠根據(jù)各反饋信號(hào)自動(dòng)調(diào)節(jié)煤粉噴吹流量的控制方法。該方法可以有效地防止煤粉噴吹過程中出現(xiàn)的煤粉量供需不平衡等現(xiàn)象，從而大大提高了煤粉燃燒率，有效的提高了產(chǎn)品質(zhì)量。
關(guān)鍵詞：模糊神經(jīng)網(wǎng)絡(luò)；煤粉噴吹；回轉(zhuǎn)窯；參數(shù)調(diào)整

Abstract: this paper discussed the application of FNAOC in the pulverized coal injection
system of the Rotary-Kiln. and presents a novel control method which can automatic control the flux of the coal powder of the pulverized coal injection system in the Rotary-Kiln according to the feedback signal given by the production line .The method can prevent the unbalance phenomenon between the supply and demand of the coal powder effectively, and improve the combustion ration and the quality of the production.
Keyword: fuzzy neural network pulverized coal injection Rotary-Kiln parameter adjustment