噪声与振动控制
譟聲與振動控製
조성여진동공제
Noise and Vibration Control
2015年
5期
134-138
,共5页
振动与波%轧机传动系统%扭振%改进BP神经网络%状态观测器
振動與波%軋機傳動繫統%扭振%改進BP神經網絡%狀態觀測器
진동여파%알궤전동계통%뉴진%개진BP신경망락%상태관측기
vibration and wave%transmission system of the rolling mill%torsional vibration%improved BP neural network%state observer
针对轧机传动系统扭振控制问题，建立考虑负载转矩的轧机传动系统动力学模型。考虑到扭振模型比较复杂和参数不易测量的特点，提出基于神经网络的状态观测器，并对标准BP网络进行优化处理。设计基于改进BP神经网络状态观测器的智能控制系统，并利用SIMULINK对轧机实例进行仿真。结果表明设计的智能控制系统对轧机传动系统的扭振有良好的控制效果。
針對軋機傳動繫統扭振控製問題，建立攷慮負載轉矩的軋機傳動繫統動力學模型。攷慮到扭振模型比較複雜和參數不易測量的特點，提齣基于神經網絡的狀態觀測器，併對標準BP網絡進行優化處理。設計基于改進BP神經網絡狀態觀測器的智能控製繫統，併利用SIMULINK對軋機實例進行倣真。結果錶明設計的智能控製繫統對軋機傳動繫統的扭振有良好的控製效果。
침대알궤전동계통뉴진공제문제，건립고필부재전구적알궤전동계통동역학모형。고필도뉴진모형비교복잡화삼수불역측량적특점，제출기우신경망락적상태관측기，병대표준BP망락진행우화처리。설계기우개진BP신경망락상태관측기적지능공제계통，병이용SIMULINK대알궤실례진행방진。결과표명설계적지능공제계통대알궤전동계통적뉴진유량호적공제효과。
The dynamic model of the drive system of rolling mills was established to study the torsional vibration control problem in the loading condition. Due to the complicated characteristics and the difficulty in parameters measurement of the torsional vibration model, the state observer method was proposed based on neural network, and the typical BP network was optimized. The intelligent control system based on the improved BP neural network observers was designed and the real mill examples were simulated using SIMULINK. The results show that the designed smart control system of the rolling mill drive system has a good effect for torsional vibration control.
