采煤机扭矩轴扭断参数的神经网络算法辨识
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摘要
针对实际工况下采煤机扭矩轴工作性能不稳定的问题,提出基于Hopfield神经网络的辨识算法来优化扭矩轴参数。利用该算法拟合采煤机扭矩轴的实验数据,并以该数据为样本,辨识采煤机扭矩轴参数,应用MATLAB软件比较分析实验与仿真的误差。结果表明,基于Hopfield神经网络的辨识算法对采煤机扭矩轴传动系统建模工作量小、通用性好,且仿真误差小于1 N·m,可应用于实际工程。
This paper seeks to overcome the unstable performance of shaft torque of the coal winning machines operating in the actual working conditions and presents an identification algorithm based on Hopfield neural network to optimize the torque shaft parameters. The study using this algorithm involves fitting the experimental data of coal winning machine torque shaft; identifying coal winning machine shaft torque parameters using the data as sample; and comparing and analyzing errors occurring between the experiment and simulation by applying MATLAB software. The results show that the algorithm promises a practical engineering application thanks to its advantages,such as a smaller modeling workload in coal winning machine torque shaft driving system,a better versatility,and simulation error of less than 1 N·m.
This paper seeks to overcome the unstable performance of shaft torque of the coal winning machines operating in the actual working conditions and presents an identification algorithm based on Hopfield neural network to optimize the torque shaft parameters. The study using this algorithm involves fitting the experimental data of coal winning machine torque shaft; identifying coal winning machine shaft torque parameters using the data as sample; and comparing and analyzing errors occurring between the experiment and simulation by applying MATLAB software. The results show that the algorithm promises a practical engineering application thanks to its advantages,such as a smaller modeling workload in coal winning machine torque shaft driving system,a better versatility,and simulation error of less than 1 N·m.
引文
[1]刘春生.滚筒式采煤机理论设计基础[M].徐州:中国矿业大学出版社,2003.
[2]刘春生,靳立红,闫晓林.采煤机弹性扭矩轴功能设计[J].矿业机械,2009,37(9):1-3.
[3]吴卫东,郭昌利,李华亮.采煤机摇臂转矩轴的有限元分析[J].机械传动,2012,36(4):84-86.
[4]刘春生,鲁士铂,张艳军,等.冲击载荷下不同有效长度扭矩轴的扭转特性[J].黑龙江科技大学学报,2014,24(3):253-255.
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[8]周海峰,李玉标,杨瑞锋.采煤机扭矩轴加载试验研究[J].价值工程,2014(05):27-28.
[9]武文虎,杨兆建,范秋霞.采煤机摇臂扭矩轴设计[J].煤矿机械,2012(11):12-13.
[10]冯文宾.薄煤层采煤机行走机构扭矩轴的强度分析[J].科技创新导报,2012(09):80.
[11]范超.采煤机扭矩轴的疲劳分析及寿命预测[D].阜新:辽宁工程技术大学,2012.
[2]刘春生,靳立红,闫晓林.采煤机弹性扭矩轴功能设计[J].矿业机械,2009,37(9):1-3.
[3]吴卫东,郭昌利,李华亮.采煤机摇臂转矩轴的有限元分析[J].机械传动,2012,36(4):84-86.
[4]刘春生,鲁士铂,张艳军,等.冲击载荷下不同有效长度扭矩轴的扭转特性[J].黑龙江科技大学学报,2014,24(3):253-255.
[5]毛永骥,徐建.神经网络控制[M].北京:机械工业出版社,1999.
[6]单耀祖.材料力学[M].北京:高等教育出版社,2004.
[7]机械工程材料性能数据手册编委会.机械工程材料性能数据手册[M].北京:机械工业出版社,1995.
[8]周海峰,李玉标,杨瑞锋.采煤机扭矩轴加载试验研究[J].价值工程,2014(05):27-28.
[9]武文虎,杨兆建,范秋霞.采煤机摇臂扭矩轴设计[J].煤矿机械,2012(11):12-13.
[10]冯文宾.薄煤层采煤机行走机构扭矩轴的强度分析[J].科技创新导报,2012(09):80.
[11]范超.采煤机扭矩轴的疲劳分析及寿命预测[D].阜新:辽宁工程技术大学,2012.