贴片机X/Y轴快速高精度定位的实现

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英文篇名：High-precision rapid positioning of X/Y axis in SMT placement 作者：刘明晓 ; 龙绪明 ; 罗爱玲 ; 贺海浪 英文作者：LIU Ming-xiao;LONG Xu-ming;LUO Ai-ling;HE Hai-lang;School of Electrical Engineering,Southwest Jiaotong University; 关键词：贴片机 ; 快速高精度定位 ; 运动控制 ; RBF神经网络 ; 自适应滑模控制 英文关键词：SMT placement;;high-precision rapid positioning;;motion control;;RBF neural network;;adaptive sliding mode control 中文刊名：XDDJ 英文刊名：Modern Electronics Technique 机构：西南交通大学电气工程学院; 出版日期：2014-09-01 出版单位：现代电子技术 年：2014 期：v.37;No.424 语种：中文; 页：XDDJ201417048 页数：4 CN：17 ISSN：61-1224/TN 分类号：165-167+170

摘要

负载惯量和外界干扰是影响贴片机X,Y轴快速高精度定位的两个关键因素。本文针对负载惯量和外界干扰对控制性能的影响,提出了基于RBF神经网络的自适应滑模控制算法。利用RBF神经网络的万能逼近特性实现对外加干扰和被控对象模型信息的逼近,运用自适应控制算法计算前馈补偿量以补偿负载惯量和摩擦力对运动性能的影响,采用滑模控制算法以抑制其他不确定干扰对运动控制的影响。通过仿真分析可以得出,所采用的控制算法能够有效地补偿负载惯量和外界干扰对定位性能的影响,从而实现贴片机X,Y轴的快速高精度定位。
        The load inertia and the outside disturbance are the key factors that affect X/Y-axis high-precision fast position of SMT placement. An adaptive sliding mode control algorithm based on RBF neural network is proposed in this paper to eliminate the influence of load inertia and outside interference. The universal approximation property of RBF neural network is used to realize approximation of external disturbance and model information of the controlled object. Feed-forward compensation amount calculated by using the adaptive control algorithm is used to compensate the load moment of inertia and friction effects on motion performance. The sliding mode control algorithm is adopted to suppress the influence of other uncertain disturbance on motion control.The simulation analysis indicates that the control algorithm can effectively compensate the efforts of load inertia and outside interference on positioning performance,so as to realize the high-precision rapid positioning of X- and Y-axis in SMT placement.

引文

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