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International Journal of Automation and Computing 2018, Vol. 15 Issue (2) :156-168    DOI: 10.1007/s11633-017-1104-9
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A Position and Torque Switching Control Method for Robot Collision Safety
Zhi-Jing Li1, Hai-Bin Wu1, Jian-Ming Yang2, Ming-Hao Wang1, Jin-Hua Ye1
1 School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China;
2 Department of Mechanical System, Meijo University, Nagoya 468-8052, Japan
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Abstract With the increasing number of human-robot interaction applications, robot control characteristics and their effects on safety as well as performance should be taken account into the robot control system. In this paper, a position and torque switching control method was proposed to improve the robot safety and performance, when robots and humans work in the same space. The switching control method includes two modes, the position control mode using a proportion-integral (PI) algorithm, and the torque control mode using sliding mode control (SMC) algorithm for eliminating swing. Under the normal condition, the robot works in position control mode for trajectory tracking with quick response. Once the robot and human collide, the robot will switch to torque control mode immediately, and the impact force will be restricted within a safe range. When the robot and human detach, the robot will resume to position control mode automatically. Moreover, for a better performance, the joint torque is detected from direct-current (DC) motor's current rather than the torque sensor. The experiment results show that the proposed approach is effective and feasible.
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KeywordsHuman-robot interaction   position control   torque control   switching control   robot collision safety     
Received: 2017-02-14; Revised: 2017-09-28; published: 2017-09-28
Fund:

This work was supported by National Natural Science Foundation of China (Nos.51175084, 51575111 and 51605093), Fujian Province Natural Science Foundation (No.2015J05121) and Fuzhou University-Enterprise Cooperation Project (No.2015H6012)

Corresponding Authors: Jin-Hua Ye     Email: yejinhua@fzu.edu.cn
About author: Zhi-Jing Li received the B.Sc. degree and M.Sc. degrees in mechatronic engineering from Anhui University of Science & Technology, China in 2011 and 2014, respectively.E-mail:lizhijingwei@163.com;Hai-Bin Wu received the Ph.D. degree in mechanical engineering from Zhejiang University, China in 2002.E-mail:wuhb@fzu.edu.cn;Jian-Ming Yang received the Ph.D. degree in electronic-mechanical engineering from Nagoya University.E-mail:yang@meijo-u.ac.jp;Ming-Hao Wang received the M. Sc. degree in computer aided engineering from Napier University, China in 2007.E-mail:judyfjut@163.com;Jin-Hua Ye received the Ph. D. degree in mechatronics engineering from South China University of Technology, China in 2014.E-mail:yejinhua@fzu.edu.cn
Cite this article:   
Zhi-Jing Li, Hai-Bin Wu, Jian-Ming Yang, Ming-Hao Wang, Jin-Hua Ye. A Position and Torque Switching Control Method for Robot Collision Safety[J]. International Journal of Automation and Computing , vol. 15, no. 2, pp. 156-168, 2018.
URL:  
http://www.ijac.net/EN/10.1007/s11633-017-1104-9      或     http://www.ijac.net/EN/Y2018/V15/I2/156
 
[1] A. Pervez, J. Ryu, Safe physical human robot interaction-past, present and future, Journal of mechanical science and technology, vol. 22, pp:469-483, 2008.
[2] A. De Santis, B. Siciliano, A. De Luca etc., An atlas of physical human-robot interaction, Mechanism and machine theory, vol. 43, pp:253-270, 2008.
[3] T. Shiferaw Tadele, T. J.A. De Vries, S. Stramigioli, The safety of domestic robots:a survey of various safety-related publications, IEEE Robotics and Automation Magazine, vol. 21, no. 3, pp:134-142, 2014.
[4] S. Haddadin, A. Albu-Schaffer, O. Eiberger etc., New insights concerning intrinsic joint elasticity for fafety, IEEE/RSJ international conference on intelligent robots and system, Taiwan, pp:2181-2187, 2010.
[5] M. Zinn, O. Khatib, B. Roth etc., Playing it safe:human-friendly robots, IEEE Robotics & Automation Magazine, vol. 11, no. 2, pp:12-21, 2004.
[6] M. H. Zaher, S. M. Megahed, Joint flexibility effect on the dynamic performance of robots, Robotica, vol. 33, pp:1424-1445, 2015.
[7] K. C. Denny Fu, Y. Nakamura, T. Yamamoto etc., Analysis of motor synergies utilization for optimal movement generation for a human-like robotic arm, International Journal of Automation and Computing, vol. 10, no. 6, pp:515-524, 2013.
[8] Yuancan Huang, Jian Li, Qiang Huang etc., Anthropomorphic robotic arm with integrated elastic joints for TCM remedial massage, Robotica, vol. 33, pp:348-365, 2015.
[9] A. Albu-Schaffer, S. Haddadin, Ch. Ott etc., The DLR lightweight robot:design and control concepts for robots in human environments, Industrial Robot, vol. 34, no. 5, pp:376-385, 2007.
[10] A. Cherubini, R. Passma, A. Crosnier etc., Colleborative manufacturing with physical human-robot interaction, Robotics and computer-integrated manufacturing, vol. 40, pp:1-13, 2016.
[11] J. A. Marvel, J. Falco, I. Marstio, Characterizing task-based human-robot collaboration safety in manufacturing, IEEE transactions on system, man, and cybernetics:system, vol. 45, no. 2, pp:260-275, 2015.
[12] M. Beetz, G. Bartels, A. Albu-Schaffer. Robotic agents capable of natural and safe physical interaction with human co-workers, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp:6528-6535, 2015.
[13] A. De Luca, A. Albu-Schaffer, S. Haddadin etc. Collision detection and safe reaction with the DLR-Ⅲ Lightweight manipulator arm, IEEE International Conference on Intelligent Robots and Systems, Beijing, pp:1623-1630, 2006.
[14] B. Schmidt, Lihui Wang, Depth camera based collision avoidance via active robot control, Journal of manufacturing systems, vol. 33, pp:711-718, 2015.
[15] F. Flacco, T. Kroeger, A. De Luca etc., A Depth Space Approach for Evaluating Distance to Objects, Journal of Intelligent & Robotic Systems, vol. 80, no. 1, pp:7-22, 2015.
[16] V. J. Lumelsky and E. Cheung. "Real-time collision avoidance in teleoperated whole-sensitive robot arm manipulators," IEEE Transactions on Systems Man Cybernetics, vol. 23, no. 1, pp:194-203, 1993.
[17] D. Gandhi, E. Cervera. Sensor covering of a robot arm for collision avoidance, IEEE International Conference on Systems, Man and Cybernetics, vol. 5, pp:4951-4955, 2003.
[18] Tin Lun Lam, Hoi Wut Yip, Huihuan Qian etc. Collision avoidance of industrial robot arms using an invisible sensitive skin IEEE International Conference on Intelligent Robots and Systems, pp:4542-4543, 2012.
[19] Dana Kulic and Elizabeth Croft. Safety based control strategy for human-robot interaction, Journal of Robotics and Autonomous Systems, vol. 54, no. 1, pp:1-12, 2006.
[20] Dana Kulic and Elizabeth Croft. Pre-collision safety strategies for human-robot interaction, Autonomous Robots, vol. 22, no. 2, pp:149-164, 2007.
[21] Dongjun Hyun, Hyun Seok Yang, Jungwan Park, and Youngbo Shim. "Variable stiffness mechanism for human-friendly robots," Mechanism and Machine Theory, vol. 45, pp:880-897, 2010.
[22] Kyoungchul Kong, Joonbum Bae, Masayoshi Tomizuka. A Compact Rotary Series Elastic Actuator for Human Assistive Systems, IEEE/ASME Transactions on Mechatronics vol. 17, no. 2, pp:288-297, 2012.
[23] Sebastian Wolf, Giorgio Grioli, Oliver Eiberger etc. Variable Stiffness Actuators:Review on Design and Components, IEEE/ASME Transactions on Mechatronics, vol. 21, no. 5, pp:2418-2430, 2016.
[24] S.D. Lee, J.B. Song, Guidelin for determination of link mass of a robot arm for collision safety, 8th international conference on ubiqutous and ambient intelligance, Korea, pp:383-385, 2011.
[25] Yoji Yamada and Kazutsugu Suita, A failure-to-safety robot system for human-robot coexistence, Robotics and Autonomous Systems, vol. 18, pp:283-291, 1996.
[26] Lingqi Zeng and Gary M. Bone, Design of elastomeric foam-covered robotic manipulators to enhance human safety, Mechanism and Machine Thoery, vol. 60, no. 60, PP:1-27, 2013.
[27] Hun-Ok Lim, Masahiko Sunagawa, Naoki Takeuchi. Development of human-friendly robot with collision force suppression mechanism, ICROS-SICE International Joint Conference, Japan, pp:5712-5716, 2009.
[28] A. De Luca, L. Ferrajoli, Exploiting robot redundancy in collision detection and reaction, IEEE International Conference on Intelligent Robots and Systems, France, pp:3299-3305, 2008.
[29] S. Haddadin, A. Albu-Schaffer, A. De Luca etc. Collision detection and reaction:a contribution to safe physical Human-Robot Interaction, IEEE/RSJ International Conference on Intelligent Robots and Systems, France, pp:3352-3363, 2008.
[30] Byung-jin Jung, Ja Choon Koo, Hyouk Ryeol etc., Human-robot colision detection under modeling uncertainty using frequency boundary of manipulator dynamics, Journal of Mechanical Science and Technology, vol. 28, no. 11, pp:4389-4395, 2014.
[31] Hwan-Wook Je, Jun-Young Baek, Min Cheol Lee, Current based compliance control method for minimizing an impact force at collision of service robot arm, International journal of precision engineering and manufacturing, vol. 12, no. 2, pp:251-258, 2011.
[32] F. Dimeas, L. D. Avendano-Valencia, N. Aspragathos, Human-robot collision detection and identification based on fuzzy and time serious modelling, Robotica, vol. 33, pp:1886-1889, 2015.
[33] Haibin Wu, Hongqing Zhong, Jianming Yang etc., Robot Arm Safety Improvement by Position/Torque Switching Control," Communications in Computer and Information Science, pp. 131-139, 2011.
[34] M. S. Erden, T. T. Tomiyama, Human-intent detection and physically interactive control of a robot without force sensor, IEEE transactions on robotics, vol. 26, no. 2, pp:370-382, 2010.
[35] Y. Karayiannidis, L. Droukas, D. Parageorgiou etc., Robot control for task performance and enhanced safety under impact, Frontiers in Robotics and AI, vol. 2, pp:1-12, 2015.
[36] Sinan Kilicaslan, M. Kemal Ozgoren and S. Kemal Ider, Hybrid force and motion control of robots with flexible links, Mechanism and Machine Theory, vol. 45, pp:91-105, 2010.
[37] Farooq M. and Dao Bo Wang. "Hybrid force/position control scheme for flexible joint robot with friction between and the end-effector and the environment," International Journal of engineering Science, vol. 46, pp:1266-1278, 2008.
[38] Christan Ott, Ranjan Mukherjee, Yoshihiko Nakamura, A Hybrid System Framework for Unified Impedance and Admittance Control, Journal of Intelligent & Robotic Systems, vol. 78, no. 3, pp:359-375, 2015.
[39] Loris Roveda, Niccolo Iannacci, Federio Vicentini rtc, Optimal Impedance Force-Tracking Control Design with Impact Formulation for Interaction Tasks, IEEE robotics and automation letters, vol. 1, no. 1, pp:130-136, 2016.
[40] M. B. Romdhane Neila, D. Tarak, Adaptive terminal sliding mode control for rigid robotic manipulators, International Journal of Automation and Computing, vol. 8, no. 2, pp:215-220, 2011.
[41] L. Zouari, H. Abid, M. Abid, Sliding mode and PI controllers for uncertain flexible joint manipulator, International Journal of Automation and Computing, vol. 12, no. 2, pp:117-124, 2015.
[42] S. Katsura, Y. Matsumoto, K. Ohnishi, Modeling of Force Sensing and Validation of Disturbance Observer for Force Control, IEEE Transactions on ndustrial Electronics, vol. 54, no. 1, pp:530-538, 2007.
[43] Jiraphon Srisertpol, Chanyut Khajorntraidet, Estimation of DC motor variable torque using adaptive compensation, Chinese Control and Decision Conference, pp:712-717, 2009.
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