摘要
针对纵轴式掘进机截割头随机截割载荷难以准确测定的问题,根据随机过程理论,推导出截割头随机截割载荷的自功率谱表达式,并根据截割功率谱结合虚拟激励法确定截割头的虚拟激励;然后利用求得的响应结合精细积分算法反向推导识别截割头随机截割载荷的表达式,由此建立了精确的截割头时域随机截割载荷的反演数学模型;最后由最小二乘法计算出截割头随机截割载荷的时间历程,并通过正则化方法来减小噪声的干扰。实例验证结果表明,该方法能有效减小噪声干扰,准确地识别截割头的随机截割载荷。
As the random cutting load of the cutting head for the longitudinal roadheader defies accurate determination,the self-power spectrum expression of the random cutting load was deduced on the basis of the theory of random processes and the pseudo excitation of the cutting head determined with the combined use of the self-power spectrum expression and the pseudo excitation method.The obtained system＇s responses were then used to deduce the equation for identification of the random cutting load with the aid of precise-integration method,and the precise mathematical model of the random cutting load established in time domain.The time history of the random cutting load was calculated according to the least squares method and noise interference reduced by the regularization method.Examples show that the described method can effectively reduce noise interference and identify the random cutting load more accurately.
出处
《武汉科技大学学报》
CAS
北大核心
2017年第2期138-143,共6页
Journal of Wuhan University of Science and Technology
基金
国家自然科学基金资助项目(59774033)
关键词
掘进机
截割头
截割载荷
载荷识别
虚拟激励
正则化
roadheader
cutting head
cutting force
load identification
virtual excitation
regularization
