燒結(jié)爐系統(tǒng)是復(fù)雜系統(tǒng)，用一般的模糊控制方法對爐溫進(jìn)行控制效果并不令人滿意。本文提出基于神經(jīng)網(wǎng)絡(luò)的自適應(yīng)模糊控制算法綜合了兩者的優(yōu)點(diǎn)，系統(tǒng)仿真與初步試驗表明,它對參數(shù)改變以及各種干擾都有較強(qiáng)魯棒性，快速跟蹤性能好，為復(fù)雜工業(yè)過程控制提供了一種新途徑。
關(guān)鍵詞：燒結(jié)爐;人工神經(jīng)網(wǎng)絡(luò);自適應(yīng)模糊控制

Abstract: The sintering system is a complex system.It is not satisfactory to control for furnace
temperature by using general fuzzy control method.This paper presents an adaptive fuzzy control algorithm based on artificial neural network to integrate advantages of both fuzzy control and artificial neural network control.The system simulation and elementary experiment shows that it is stronger in robustness for parameter varying and various disturbance,better in fast tracking performance,and it provides a kind new approach for complex industrial process control.
Key Words : Sintering furnace; Artificial neural network; Adaptive fuzzy control