本文采用基于模糊神經(jīng)網(wǎng)絡(luò)的控制器實現(xiàn)了對時滯系統(tǒng)的控制，采取模糊規(guī)則對輸出誤差進行預(yù)測，預(yù)測中假設(shè)系統(tǒng)輸出變化較緩慢，以至可以忽略高次項，得到的輸出誤差經(jīng)過神經(jīng)網(wǎng)絡(luò)算法對控制對象進行控制，算法采用BP算法，仿真實驗得到了很好的結(jié)果，系統(tǒng)的時滯基本消除，動態(tài)特性符合要求。
關(guān)鍵詞：模糊神經(jīng)網(wǎng)絡(luò) 控制 時滯
Abstract: The paper realize the controlling of time lag system using the controlling device based on fuzzy neural net forecast the output error using fuzzy rule, in the forecasting we suppose that the output of system chang so slowly that we can neglect high degree item, the output error control the controlled object after pass through neural net arithmetic. The arithmetic is BP arithmetic. The imitating reality experiment received very good results. The system’s time lag is largely eliminated and dynamic characteristic is up to the mustard.
Keywords: Fuzzy; Neural net; Control; Time lag