基于活动轮廓的机器人视觉伺服控制

提出了基于活动轮廓的视觉伺服控制方法。将活动轮廓和光流模型相结合用于运动物体图像的实时跟踪 ,以抽取物体图像的边缘信息 ,并以此信息控制摄像机的运动 ,达到机器人定位、跟踪等目的。该方法跟踪精度高 ,鲁棒性好 ,且满足实时跟踪的要求。实验结果表明了该方法的正确性和有效性。     

CDEST专家系统工具及其与数据库的接口

介绍、推荐了一种新的专家系统工具──ＣＤＥＳＴ（ＣｈｉｎｅｓｅＤｉａｇｎｏｓｉｓＥｘｐｅｒｔＳｙｓｔｅｍＴｏｏｌ）,并给出了ＣＤＥＳＴ与数据库接口的详细实现方法。     

CLIENT／SERVER环境下的通用数据库开发工具POWERBUILDER

从面向对象的程序设计的角度,剖析了ＣＬＩＥＮＴ／ＳＥＲＶＥＲ环境下的通用数据库开发工具ＰＯＷＥＲＢＵＩＬＤＥＲ（ＰＢ）的特点、基本结构及其开发数据库应用系统的方法。     

基于电测法的导引头伺服机构干扰力矩测量及精密装配工艺优化

为了在导引头伺服机构装配过程中减小干扰力矩,基于电测法搭建伺服机构驱动力矩测量系统,采用Labview和Dliphi开发了测量系统上下位软件;在精密装调过程中,通过实时监测驱动力矩,调整装调参数,达到减小干扰力矩的作用。对质量不平衡力矩及活动线缆力矩在驱动力矩中的特性进行了实验验证,确定伺服机构配平和布线方法;对轴承预紧力与伺服机构摩擦力矩关系进行了实验验证,解决自动跑合工艺问题,对减小摩擦力矩波动幅值具有重要意义;测量伺服机构转轴回转误,明确最佳轴承预紧力的工艺方法。基于搭建的驱动力矩测量系统对传统的伺服机构装配工艺进行优化,将依赖技师经验装配的定性方法优化为依赖力矩测量的定性方法。     

环境温度变化对导引头伺服机构摩擦力矩影响分析及实验研究

建立包含框架热致耦合变形的导引头伺服机构摩擦力矩分析模型,重点研究环境温度变化对角接触轴承几何参数及摩擦力矩的影响。以反射镜式导引头为例进行摩擦力矩分析,结果表明:随着温度的降低,润滑脂黏度的上升是导致伺服机构在低温时摩擦力矩剧烈上升的主要原因,框架耦合变形占比较小。搭建基于电测法的摩擦力矩测试系统,用快速温变实验箱模拟环境温度,测量伺服机构摩擦力矩并与理论计算结果进行对比分析,实验证明摩擦力矩实验结果与理论模型计算结果一致。     

基于改进ESO的交流伺服系统FOPID定位控制

针对高炮炮控交流伺服系统高精度定位控制存在的外界干扰及诸多非线性因素,提出了基于连续光滑函数fan()的改进扩张状态观测器(ESO),并将其应用于分数阶PID控制器,即CS-ESO-FOPID。该控制器将所有外界干扰因素作为"总干扰"获取干扰实时量,并通过改进扩张状态观测器实现非线性因素的实时动态补偿。数字仿真证明,CS-ESO观测优于传统ESO观测,CS-ESO-FOPID的动态控制精度及对外部扰动的鲁棒性均优于FOPID控制,避免了基于传统ESO的分数阶PID易出现的高频颤振现象,从而验证了该控制策略的可行性和有效性。     

自由曲面慢刀伺服车削及刀具参数确定方法

自由曲面光学元件具有优越的光学性能,在现代光学系统中得到越来越广泛的应用。慢刀伺服是单点金刚石车削自由曲面的新技术。由于自由曲面面形的复杂性以及慢刀伺服车削技术的特殊性,刀具与工件的相对位置关系也更加复杂,必须对刀具与工件表面的相对几何关系深入研究,从而确定合适的刀具参数。从原理上对慢刀伺服车削技术的特殊性进行了分析。分别基于过轴心截面曲线特性和基于NURBS曲面整体特性研究了刀具参数确定方法。以正弦阵列表面工件为例,验证了这两种分析方法。     

Cooperative interception with fast multiple model adaptive estimation

For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang For the case that two pursuers intercept an evasive target, the cooperative strategies and state estimation methods taken by pursuers can seriously affect the guidance accuracy for the target, which performs a bang-bang evasive maneuver with a random switching time. Combined Fast multiple model adaptive estimation (Fast MMAE) algorithm, the cooperative guidance law takes detection configuration affecting the accuracy of interception into consideration. Introduced the detection error model related to the line-of-sight (LOS) separation angle of two interceptors, an optimal cooperative guidance law solving the optimization problem is designed to modulate the LOS separation angle to reduce the estimation error and improve the interception performance. Due to the uncertainty of the target bang-bang maneuver switching time and the effective fitting of its multi-modal motion, Fast MMAE is introduced to identify its maneuver switching time and estimate the acceleration of the target to track and intercept the target accurately. The designed cooperative optimal guidance law with Fast MMAE has better estimation ability and interception performance than the traditional guidance law and estimation method via Monte Carlo simulation.     

A comparative study of three tool replacement/operation sequencing strategies in a flexible manufacturing system

This paper studies three tool replacement/operation sequencing strategies for a flexible manufacturing system over a finite time horizon: (1) failure replacement—replace the tool only upon failure, (2) optimal preventive tool replacement for a fixed sequence of operations, and (3) joint scheduling of the optimal preventive tool replacement times and the optimal sequence of operations. Stochastic dynamic decision models are used for strategies 2 and 3. The optimization criterion for strategies 2 and 3 is the minimization of the total expected cost over the finite time horizon. We will show through numerical studies that, with the same amount of information, the total expected costs can be reduced considerably by choosing an optimal strategy. Our conclusion is that in flexible manufacturing, optimal tool replacement and optimal operations sequencing are not separate issues. They should be considered jointly to minimize the expected total cost. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 479–499, 2000