Design and Analysis of Split-flexible Wall-climbing Robot with Adaptive Variable Curvature Façade

doi:10.3901/JME.2021.03.049

Abstract

Abstract: In order to solve the adaptive problem of variable curvature of traditional wall climbing robots on complex and large metal facades. The effective contact between the track and the surface as the starting point, the law of attitude change of caterpillar movement configuration in adaptive surface motion is analyzed. A self-adaptation wall-climbing robot is proposed, which based on split-flexible track movement and clearance permanent magnet adsorption. The multi-state motion model is built, and the self-adaptation motion characteristics of the robot are analyzed, by using itself posture chang in the process of moving on the variable curvature facade and crossing the barrier of the weld. Clearance permanent magnet adsorption model is constructed, and the influence of wall thickness and magnetic gap on the adsorption capacity is analyzed by means of parametric simulation. Through the test of prototype platform, it is shown that the robot can move flexibly and reliably under large loads on the facade with variable curvature with reasonable motion posture, and has good ability of adapting variable curvature and overcoming obstacles.

Key words: wall-climbing robot, attitude adjustment, self-adaptation, variable curvature façade, split-flexible

CLC Number:

TP242

WANG Yang, ZHANG Xiaojun, ZHANG Minglu, SUN Lingyu. Design and Analysis of Split-flexible Wall-climbing Robot with Adaptive Variable Curvature Façade[J]. Journal of Mechanical Engineering, 2021, 57(3): 49-58.

References

[1] ROSS B,BARES J,FROMME C. A semi-autonomous robot for stripping paint from large vessels[J]. The International Journal of Robotics Research,2003,22(7-8):617-626.
[2] KAIDI Z,XUYAN H,PAN C,et al. Research on the adhesion characteristic of climbing robot feet with bionic gecko microarray for spacecraft based on DEM[C]//Proceedings of the 20173rd International Conference on Control,Automation and Robotics (ICCAR). Nagoya,Japan:IEEE,2017:206-211.
[3] 薛胜雄,任启乐,陈正文,等. 磁隙式爬壁机器人的研制[J]. 机械工程学报,2011,47(21):37-42. XUE Shengxiong,REN Qile,CHEN Zhengwen,et al. Design on magnetic gap adhesion typed crawler[J]. Journal of Mechanical Engineering,2011,47(21):37-42
[4] 衣正尧,弓永军,王祖温,等. 新型船舶壁面除锈爬壁机器人动力学建模与分析[J]. 机械工程学报,2010,46(15):23-30. YI Zhengyao,GONG Yongjun,WANG Zuwen,et al. Dynamic modeling and analysis on a new type wall-climbing robot for ship wall rust removal[J]. Journal of Mechanical Engineering,2010,46(15):23-30.
[5] WU M,PAN G,ZHANG T,et al. Design and optimal research of a non-contact adjustable magnetic adhesion mechanism for a wall-climbing welding robot[J]. International Journal of Advanced Robotic Systems,2013,10(63):1-9.
[6] WU X G,YAN W X,FU Z,et al. New mechanism to pass obstacles for magnetic climbing robots with high payload,using only one motor for force-changing and wheel-lifting[J]. Industrial Robot:An International Journal,2011,38(4):372-380.
[7] GO T,OSAWA T,NAKAMURA T. Proposed locomotion strategy for a traveling-wave-type omnidirectional wall-climbing robot for spherical surfaces[C]//Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO). Zhuhai,China:IEEE,2015:2223-2228.
[8] GO T,OSAWA T,OGAWA T,et al. Development of traveling wave type omnidirectional wall climbing robot using permanent magnetic adhesion mechanism and proposal of locomotion strategy for the robot[C]//Proceedings of the 2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics(AIM). Besançon,France:IEEE,2014:1000-1005.
[9] LIU Y,SHIN M,JEONG K,et al. Dry adhesion optimization design for a wall-climbing robot based on experiment[C]//Proceedings of the 201411th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI). Kuala Lumpur,Malaysia:IEEE,2014:216-219.
[10] XU Z,XIE Y,ZHANG K,et al. Design and optimization of a magnetic wheel for a grit-blasting robot for use on ship hulls[J]. Robotica,2015,1-17.
[11] 桂仲成,陈强,孙振国. 多体柔性永磁吸附爬壁机器人[J]. 机械工程学报,2008,44(6):177-82. GUI Zhongcheng,CHEN Qiang,SUN Zhenguo. Wall climbing robot employing mulit-body flexible permanent magnetic adhesion system[J]. Journal of Mechanical Engineering,2008,44(6):177-82.
[12] TAVAKOLI M,MARQUES L,ALMEIDA A T D. OmniClimber:An omnidirectional light weight climbing robot with flexibility to adapt to non-flat surfaces[C]//Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS). Vilamoura,Algarve,Portugal:IEEE,2012:280-285.
[13] 崔宗伟,孙振国,陈强,等. 两端吸附式焊缝修形爬壁机器人研制[J]. 机器人,2016,38(1):122-128. CUI Zongwei,SUN Zhenguo,CHEN Qiang,et al. Wall climbing robot based on two-end adsorption for weld seam amending[J]. Robot,2016,38(1):122-128.
[14] 崔宗伟,孙振国,张文增,等. 爬壁机器人高效焊缝修形方法[J]. 清华大学学报,2014,54(9):1127-1130. CUI Zongwei,SUN Zhenguo,ZHANG Wenzeng,et al. Efficient weld bead shaping method for a wall-climbing robot[J]. J. Tsinghua Univ.,2014,54(9):1127-1130.
[15] SEO T,SITTI M. Tank-like module-based climbing robot using passive compliant joints[J]. IEEE-ASME Transactions on Mechatronics,2013,18(1):397-408.
[16] SEO T,SITTI M. Under-actuated tank-like climbing robot with various transitioning capabilities[C]//Proceedings of the 2011 IEEE International Conference on Robotics and Automation(ICRA). Shanghai,China:IEEE,2011:777-782.
[17] TAVAKOLI M,VIEGAS C,MARQUES L,et al. OmniClimbers:Omni-directional magnetic wheeled climbing robots for inspection of ferromagnetic structures[J]. Robotics and Autonomous Systems,2013,61(9):997-1007.
[18] TAVAKOLI M,VIEGAS C,MARQUES L,et al. OmniClimber-II:An omnidirectional climbing robot with high maneuverability and flexibility to adapt to non-flat surfaces[C]//Proceedings of the 2013 IEEE International Conference on Robotics and Automation(ICRA). Karlsruhe,Germany:IEEE,2013:1349-1354.
[19] LIU Y,KIM H,SEO T. AnyClimb:A new wall-climbing robotic platform for various curvatures[J]. IEEE-ASME Transactions on Mechatronics,2016,21(3):1812-21.
[20] LIU Y,LEE D,KIM H,et al. Compliant wall-climbing robotic platform for various curvatures[C]//Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Hamburg,Germany:IEEE,2015:532-537.