为建立采煤机记忆截割技术中滚筒高度的三维空间分布模型,提高采煤机的记忆截割精度,在传统记忆截割技术的二维分布模型基础上,利用灰色系统理论和GM(1,1)模型,对采煤机滚筒在第三维(采煤机推进方向)上的高度进行动态预测,提出了一种灰色记忆截割技术。Matlab仿真结果表明:在相同的误差要求下,对比传统记忆截割算法,灰色记忆截割算法演算出的采高曲线更接近于理论采高曲线,同时灰色记忆截割技术使得调高次数减少了32.8%,因此灰色记忆截割技术能大幅度提高采煤机记忆截割的精度和实用性。

In order to establish the 3D space distribution model of the cutting drum height in the memory cutting technology of the coal shearer and to improve the memory cutting accuracy of the coal shearer, based on the 2D distribution model of the traditional memory technology, the grey system theory and GM (1, 1) model wer e applied to have a dynamic prediction on the 3D (forward direction) height of the cutting drum for the coal shearer and to provide a grey memory cutting technology.Th e Matlab simulation results showed that under the same error requirements, in comparison with the traditional memory cutting algorithm, the cutting height curve from th e grey memory cutting algorithm would be more closed to the theoretical cuting curve.Meanwhile, the grey memory cutting technology could reduce the lfting times by 32.8%. Therefore, the grey memory cutting technology could highly improve the accuracy and application of the memory cutting of the coal shearer.

国家高技术研究发展计划(863计划)资助项目(2008AA062202)；教育部霍英东基金优选资助课题(114003)；教育部博士点基金资助项目(20070290538)；