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1.
钢坯在炉内的横向跑偏和纵向跑偏位移量,是步进式加热炉设备的重要性能之一.重点介绍了鞍钢1780热连轧生产线步进式加热炉钢坯跑偏测试的应用技术. 相似文献
2.
步进式加热炉炉温优化设定模型及软件开发 总被引:1,自引:0,他引:1
针对线材厂步进式加热炉实际工况,提出了基于经验规则的炉温优化设定模型和在线自学习获取知识的思想,并以炉温优化设定模型为核心,开发出加热炉计算机控制系统的优化运行软件。 相似文献
3.
Kallie Christopher S.; Schrater Paul R.; Legge Gordon E. 《Canadian Metallurgical Quarterly》2007,33(1):183
Walking without vision results in veering, an inability to maintain a straight path that has important consequences for blind pedestrians. In this study, the authors addressed whether the source of veering in the absence of visual and auditory feedback is better attributed to errors in perceptual encoding or undetected motor error. Three experiments had the following results: No significant differences in the shapes of veering trajectories were found between blind and blindfolded participants; accuracy in detecting curved walking paths was not correlated with simple measures of veering behavior; and explicit perceptual cues to initial walking direction did not reduce veering. The authors present a model that accounts for the major characteristics of participants' veering behavior by postulating 3 independent sources of undetected motor error: initial orientation, consistent biases in step direction, and, most important, variable error in individual steps. (PsycINFO Database Record (c) 2010 APA, all rights reserved) 相似文献
4.
步行机攀登横杆的受力模型及分析 总被引:1,自引:1,他引:0
针对4足步行机器人的横杆攀登过程,在考虑弹性变形的基础上利用刚度矩阵建立其受力模型,并通过计算机仿真对攀登过程的不同情况进行了分析,其结果为具有攀登功能的步行机构结构设计及控制算法确定提供了理论依据。 相似文献
5.
对国内引进的、用于粉末冶金的步进梁式炉的运动,以图解法和解析法进行了分析,并对运动参数进行了理论推导和计算。本研究结果,对解决步进粱式炉的运动故障以及进行新型设计提供了有效的理论分析和计算依据。 相似文献
6.
随着科学技术的发展.对孔加工精度的要求越来越高.钻削过程中的速切现象对孔加工的形状精度、位置精度有很大的影响.本文用试验、观察、解析的方法分析了钻头迷切现象与各种因素的关系,对提高孔加工精度有了新的揭示. 相似文献
7.
针对视觉惯性组合导航系统中微惯性器件精度偏低,以及足部惯性导航系统航向角误差可观测性差的问题,研究了一种基于上述两种系统的信息双向融合的导航定位方案. 该方法的系统结构由安装于双足步行机器人躯干部分的惯性导航系统和安装于其足部惯性导航系统两部分组成. 惯性导航系统通过视觉同时定位与地图构建数据融合方法可以获得相对准确的航向角,足部惯性导航系统利用零速修正后的位置信息实时修正惯性导航系统中的低精度惯性器件误差,从而构建视觉与惯性信息双向融合的组合导航系统结构. 实验结果表明,该组合导航方案可以有效提高双足步行机器人的航向精度和定位精度. 相似文献
8.
迈步行走方式是一种具有广泛应用前景的地面推进方式。本文提出了一种采用液压驱动的缩放式腿机构的结构设计,并针对六足行走方式,完成了液压驱动原理设计及PLC控制设计。 相似文献
9.
Improper maintenance, repair, and operations of societal centric structures can lead to catastrophic failures that drastically affect global economy, the environment, and everyday life. Due to the remote, cramped and highly irregular environmental nature of these structures, routine manual procedures and operations can be rather tedious, dangerous, and hazardous for humans. Automating maintenance, repair, and operations removes human workers from having to crawl within highly cluttered and constrained spaces, breathing in stale air mixed with fumes from welding or particulate from repair work, and provides higher reliability and consistency in the repair work. This paper introduces SHeRo, a scalable hexapod robot designed for maintenance, repair, and operations within remote, inaccessible, irregular, and hazardous environments. The scalability of the design enhances traditional hexapod robot designs by incorporating two prismatic joints into each leg. A detailed discussion on the design and realization of SHeRo is provided. An analysis on the stability and workspace of SHeRo is presented and a dynamic criterion is developed to integrate the concepts of robot stability and constant orientation workspace into a stable workspace. The analytical solution of the lateral stable workspace of SHeRo is derived along with a metric for comparing stable workspace between different robot configurations. A simulated demonstration and two physical experimental demonstrations are presented showing the advantage of introducing scalability into the hexapod robot design along with the workspace enhancement and flexibility of the scalable hexapod robot. 相似文献
10.
The improvement of safety and dependability in systems that physically interact with humans requires investigation with respect to the possible states of the user’s motion and an attempt to recognize these states. In this study, we propose a method for real-time visual state classification of a user with a walking support system. The visual features are extracted using principal component analysis and classification is performed by hidden Markov models, both for real-time fall detection (one-class classification) and real-time state recognition (multi-class classification). The algorithms are used in experiments with a passive-type walker robot called “RT Walker” equipped with servo brakes and a depth sensor (Microsoft Kinect). The experiments are performed with 10 subjects, including an experienced physiotherapist who can imitate the walking pattern of the elderly and people with disabilities. The results of the state classification can be used to improve fall-prevention control algorithms for walking support systems. The proposed method can also be used for other vision-based classification applications, which require real-time abnormality detection or state recognition. 相似文献