scholarly journals Collaborative Control Method of Underwater, Surface and Aerial Robots Based on Sensor Network

Author(s):  
Dong-Woo Man ◽  
Hyeon-Seung Ki ◽  
Hyun-Sik Kim
2021 ◽  
Vol 11 (22) ◽  
pp. 10744
Author(s):  
Changliang Han ◽  
Houqiang Yang ◽  
Nong Zhang ◽  
Rijian Deng ◽  
Yuxin Guo

The gob-side roadway in an isolated island working face is a typical representative of a strong mining roadway, which seriously restricts the efficient and safe production of underground coal mines. With the engineering background of the main transportation roadway 1513 (MTR 1513) of the Xinyi Coal Mine, this paper introduces the engineering case of gob-side roadway driving with small coal-pillar facing mining in an isolated island working face under the alternate mining of wide and narrow working faces. Through comprehensive research methods, we studied zoning disturbance deformation characteristics and stress evolution law of gob-side roadway driving under face mining. Based on the characteristics of zoning disturbance, MTR 1513 is divided into three zones, which are the heading face mining zone, the mining influenced zone, and the mining stability zone. A collaborative control technology using pressure relief and anchoring is proposed, and the differentiated control method is formed for the three zones. For the heading face mining zone, the control method of anchoring first and then pressure relief is adopted; for the mining influenced zone, the control idea of synchronous coordination of pressure relief and anchorage is adopted; for the mining stability zone, the control method of anchoring without pressure relief is adopted. Engineering practices show that the disturbance influence distance of working face 1511 on MTR 1513 changes from 110 m advanced to 175 m delay. At this time, the surrounding rock deformation is effectively controlled, which verified the rationality of the division and the feasibility of three zoning control technology. The research results can provide reference for gob-side roadway driving with small coal pillar facing mining in a special isolated island working face.


2019 ◽  
Vol 2019 (22) ◽  
pp. 8400-8403 ◽  
Author(s):  
Xu-Tao Zhang ◽  
Jian-Hua Zhang ◽  
Ying Hu ◽  
Cheng-Long Dou

2012 ◽  
Vol 591-593 ◽  
pp. 1682-1686
Author(s):  
Cang Rong Zhao ◽  
Miao Miao Zheng

For optimal design of mobile robot path planning problem, an improved artificial potential field control method is designed. Using infrared sensors and ultrasonic sensors to detect the surrounding environment will get the information of obstacles and goals. Proposed an adaptive real-time localization algorithm based on improved DV-Hop algorithm to realize real-time localization for wireless sensor network mobile robot. The improved artificial potential field adopted the improved potential function that ensured the goal is the global minimum so the mobile robot can reach the goal freely. The effectiveness and feasibility of the improved algorithm verified by simulation.


2019 ◽  
Vol 89 (23-24) ◽  
pp. 4992-5005
Author(s):  
Keshuai Liu ◽  
Duo Xu ◽  
Jiang Wei ◽  
Junlong Ni ◽  
Shengming Yang ◽  
...  

In order to reduce energy consumption and further improve the performance of viscose yarns, this study introduced a collaborative control method to improve spun yarn performance by contacting the spinning strand with both a softening device and a pressure plate. In this study, we analyze the improving mechanism of spun yarn performance using the softening device and pressure plate. The results show that thermal insulation layer formed between the softening device and pressure plate could heat the yarns in all directions to further re-wrap out-exposed hairiness into the main body of yarns and save energy consumption. Four groups of 19.7 tex viscose yarns were spun with different collaborative apparatus (with and without the softening device or pressure plate). Four groups of viscose yarns were tested in terms of hairiness, unevenness, and tensile property. Moreover, the experimental results show that collaborative apparatus with the softening device and pressure plate could significantly improve yarn performance, including CV value, hairiness, break elongation, and breaking strength to 11.3%, 18.94, 12.9%, and 311.0 cN, respectively.


Author(s):  
Jong-Hoon Kim ◽  
◽  
Won-Joo Park ◽  
Jin-Oh Park ◽  
Sang-Hyun Park

2014 ◽  
Vol 556-562 ◽  
pp. 3101-3106
Author(s):  
Wen Zhen Zhou ◽  
Zhi Zhuang Liu

Aiming at cluster control methods existing network fragmentation, formations loss and poor tracking performance problems in mobile sensor network target tracking, a novel adaptive cluster control method is proposed to track moving target in a dynamic environment. In the proposed method, each agent gets parameters of the network in a decentralized way in order to determine the range of the network. Therefore, connectivity of the network, formation and tracking performance can be improved when it meets obstacles. In addition, in order to verify the effectiveness of the proposed method, some experiments have been performed to compare the proposed method with other existing methods. And experiments have demonstrated the effectiveness of the proposed method.


Sign in / Sign up

Export Citation Format

Share Document