DOI QR코드

DOI QR Code

Control Algorithm of the Lower-limb Powered Exoskeleton Robot using an Intention of the Human Motion from Muscle

인체근육의 동작의도를 이용한 하지 근력증강형 외골격 로봇의 제어 알고리즘

  • Lee, Hee-Don (Convergence Research Center for Collaborative Robotics, Daegu Gyeongbuk Institute of Science & Technology) ;
  • Kim, Wan-Soo (Istituto Italiano di Tecnologia (IIT)) ;
  • Lim, Dong-Hwan (Mechanical Engineering, Hanyang University) ;
  • Han, Chang-Soo (Robot Engineering, Hanyang University)
  • Received : 2017.03.03
  • Accepted : 2017.04.28
  • Published : 2017.05.31

Abstract

This paper present a novel approach to control the lower body power assistive exoskeleton system of a HEXAR-CR35 aimed at improving a muscular strength. More specifically the control of based on the human intention is crucial of importance to ensure intuitive and dexterous motion with the human. In this contribution, we proposed the detection algorithm of the human intention using the MCRS which are developed to measure the contraction of the muscle with variation of the circumference. The proposed algorithm provides a joint motion of exoskeleton corresponding the relate muscles. The main advantages of the algorithm are its simplicity, computational efficiency to control one joint of the HEXAR-CR35 which are consisted knee-active type exoskeleton (the other joints are consisted with the passive or quasi-passive joints that can be arranged by analyzing of the human joint functions). As a consequence, the motion of exoskeleton is generated according to the gait phase: swing and stance phase which are determined by the foot insole sensors. The experimental evaluation of the proposed algorithm is achieved in walking with the exoskeleton while carrying the external mass in the back side.

Keywords

References

  1. H.D. Lee and C.S. Han, "Technical Trend of the Lower Limb Exoskeleton System for the Performance Enhancement," Journal of Institute of Control, Robotics and System, vol. 20, no. 3, pp. 364-371, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9023
  2. H. Kazerooni and R. Steger, "The Berkeley Lower Extremity Exoskeleton," Journal of Dynamic Systems, Measurement, and Control, vol. 128, no. 1, pp. 14-24, 2006. https://doi.org/10.1115/1.2168164
  3. S. Mohammed, Y Amirat, and H Rifai, "Lower-limb movement assistance through wearable robots: state of the Art and challenges," Advanced Robotics, vol. 26, no. 1-2, pp. 1-22, 2012. https://doi.org/10.1163/016918611X607356
  4. S.N. Yu, H.D. Lee, W.S. Kim, and C.S. Han, "Development of an underactuated exoskeleton for effective walking and load-carrying assist," Advanced Robotics, vol. 30, no. 8, pp. 535-551, 2016. https://doi.org/10.1080/01691864.2015.1135080
  5. C.J. Walsh, K. Endo, and H. Herr, "A quasi-passive leg exoskeleton for load-carrying augmentation," International Journal of Humanoid Robotics, vol. 4, pp. 487-506, 2007. https://doi.org/10.1142/S0219843607001126
  6. Dollar AM and Herr H. "Design of a quasi-passive knee exoskeleton to assist running," In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, pp. 747-754, 2008.
  7. Valiente A. "Design of a quasi-passive parallel leg exoskeleton to augment load carrying for walking," MASSACHUSETTS INST OF TECH CAMBRIDGE MEDIA LAB, Tech. Rep., DTIC Document, August, 2005.
  8. D.H. Lim, W.S. Kim, H.D. Lee, H.J. Kim, K.S. Shin, T.J. Park, J.Y. Lee and C.S. Han, "Development of a Lower Extremity Exoskeleton Robot with a Quasianthropomorphic Design Approach for Load Carriage," In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), Hamburg, Germany, pp. 5345-5350, 2015.
  9. W.S. Kim, H.D. Lee, D.H. Lim, J.S. Han and C.S. Han, "Development of a muscle circumference sensor to estimate torque of the human elbow joint," Sensors and Actuators A: Physical, vol. 208, pp. 95-103, 2014. https://doi.org/10.1016/j.sna.2013.12.036
  10. D.H. Lim, W.S. Kim, Mian Ashfaq Ali, and C.S. Han, "Development of Insole Sensor System and Gait Phase Detection Algorithm for Lower Extremity Exoskeleton," Journal of the Korean Society for Precision Engineering, vol. 32, no. 12, pp. 1065-1072, 2015. https://doi.org/10.7736/KSPE.2015.32.12.1065
  11. K.J. Astrom, Pid controllers: theory, design and tuning, ISA Research Triangle Park, NC, 1995, ch. 7, sec. 7.2, pp. 274-281.