The Four-stage Assisted Technology of Flexible Ankle Exoskeleton Robot Based on Force and Position Hybrid Control

doi:10.3969/j.issn.1000-1093.2021.12.020

Abstract

Abstract: The assistant strategy for lower extremity joints is a key factor influencing the assistant efficiency of exoskeleton robots. The exoskeleton robots during walking on level ground have been widely explored and proved to be effective. However，the performance of exoskeleton robots during walking on a slope has not been widely analyzed，and even the assistant characteristics of exoskeleton robots during walking on a slope has not been explored.An exoskeleton robot was developed to study the physiological characteristics and joint power characteristics of human during walking on a slope.A four-stage force-position hybrid control method for ankle assisted exoskeleton robot was proposed based on the rationale of human movement. A flexible ankle exoskeleton was deverloped based on the analysis，and the assisting efficiency testing experiment of the assistance torque and energy consumption was made. The results demonstrate that the exoskeleton robot can provide the assisted ankle joint torque of 7% and decrease the oxygen uptake by 3.5% during walking on a slope.

Key words: exoskeletonrobot, force-positionhybridcontrol, four-stageassistedtechnology, slopewalking, oxygenuptake

CLC Number:

TP242.3

LIU Yali， SONG Qiuzhi， ZHAO Mingsheng， ZHOU Nengbing， LIU Yue. The Four-stage Assisted Technology of Flexible Ankle Exoskeleton Robot Based on Force and Position Hybrid Control[J]. Acta Armamentarii, 2021, 42(12): 2722-2730.

References

［1］ JANSEN J F，RICHARDSON B，PIN F，et al.Exoskeleton for soldier enhancement systems feasibility study:ORNL/TM-2000/256 [R].Oak Ridge，TN，US:Oak Ridge National Laboratory，2000.
[2］ DICK J，CRAPUCHETTES B.Servo-assisted lower-body exoskeleton with a true running gait[C]∥Proceedings of DARPA Workshop on Exoskeletons for Human Performance Augmentation.Washington，DC，US:DARPA，2000.
[3］ ZOSS A B，KAZEROONI H，CHU A.Biomechanical design of the berkeley lower extremity exoskeleton (BLEEX)[J]. IEEE/ASME Transactions on Mechatronics， 2006，11(2):128-138.
[4］ ZOSS A，KAZEROONI H，CHU A.On the mechanical design of the berkeley lower extremity exoskeleton (BLEEX)[C]∥Proceedings of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.Edomonton，AB，Canada:IEEE，2005:3465-3472.
[5］ KAZEROONI H，RACINE J L，HUANG L H，et al.On the control of the berkeley lower extremity exoskeleton (BLEEX)[C]∥Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Barcelona，Spain:IEEE，2006:4365-4371.
[6］ WALSH C J，ENDO K，HERR H.A quasi-passive leg exoskeleton for load-carrying augmentation[J].International Journal of Humanoid Robotics，2007，4(3):487-506.
[7］马寿春.俄罗斯:未来士兵的“钢铁战甲”[J].科学启蒙，2010(3): 54.
MA S C. Russia:‘Iron armour’ for future soldiers[J].Science Initiation，2010(3):54.（in Chinese）
[8］ ROSSI S，COLAZZA A，PETRARCA M，et al. Feasibility study of a wearable exoskeleton for children: Is the gait altered by adding masses on lower limbs?[J].PLoS ONE，2013，8(9):e73139.
[9］ BROWNING R C，MODICA J R，KRAM R，et al.The effects of adding mass to the legs on the energetics and biomechanics of walking[J].Medicine and Science in Sports and Exercise，2007，39(3):515-525.
[10］宋遒志，王晓光，王鑫，等.多关节外骨骼助力机器人发展现状及关键技术分析[J].兵工学报，2016，37(1):173-185.
SONG Q Z，WANG X G，WANG X，et al. Development of multi-joint exoskeleton-assited robot and its key technology analysis: an overview[J].Acta Armamentarii，2016，37(1):173-185.（in Chinese）
[11］ COLLINS S H，WIGGIN M B，SAWICKI G S . Reducing the energy cost of human walking using an unpowered exoskeleton[J].Nature，2015，522(7555):212-215.
[12］ SU H，DING Y，GALIANA I，et al.Evaluation of force tracking controller with soft exosuit for hip extension assistance[M]∥Wearable Robotics:Challenges and Trends.Berlin，Germany：Springer，2017:107-111.
[13］ LEE S J，CREA S，MALCOLM P，et al.Controlling negative and positive power at the ankle with a soft exosuit[C]∥Proceedings of 2016 IEEE International Conference on Robotics and Automation. Stockhlom， Sweden: IEEE，2016:3509-3515.
[14］ QUINLIVAN B T，LEE S，MALCOLM P，et al. Assistance magnitude versus metabolic cost reductions for a tethered multiarticular soft exosuit[J].Science Robotics，2017，2(2):eaah4416.
[15］ MOONEY L M，ROUSE E J，HERR H M. Autonomous exoskeleton reduces metabolic cost of walking[C]∥Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Chicago，IL，US:IEEE，2014:3065.
[16］ MOONEY L M，HERR H M.Biomechanical walking mechanisms underlying the metabolic reduction caused by an autonomous exoskeleton[J].Journal of Neuroengineering & Rehabilitation，2016，13:DOI:10.1186/s12984-016-0111-3.
[17］ LEE S J，KARAVAS N，QUINLIVAN B T，et al. Autonomous
multi-joint soft exosuit for assistance with walking overground[C]∥
Proceedings of 2018 IEEE International Conference on Robotics and Automation.Brisbane，QLD，Australia: IEEE，2018:2812-2819.
[18］ KIM J，LEE G，HEIMGARTNER R，et al. Reducing the metabolic rate of walking and running with a versatile，portable exosuit[J]. Science，2019，365(6454):668-672.
[19］刘洋．基于绳－滑轮机构的欠驱动下肢外骨骼研究[D]．哈尔滨：哈尔滨工业大学，2018.
LIU Y.Research on the cable-pulley underactuated lower limb exoskeleton[D]. Harbin:Harbin Institute of Technology，2018.（in Chinese）
[20］陈春杰．基于柔性传动的助力全身外骨骼机器人系统研究[D].北京：中国科学院大学，2017.
CHEN C J.Research on power-assisted full-body exoskeleton robotic system based on flexible drive[D].Beijing:University of Chinese Academy of Sciences，2017.（in Chinese）
[21］ ZHANG Q，SHEN X P，WANG X S，et al. Development of a
small clamper for tendon-sheath artificial muscle[C]∥Proceedings
of the 25th International Conference on Mechatronics and Machine Vision in Practice.Stuttgart，Germany:IEEE，2018: 91-96.
[22］赵新刚，谈晓伟，张弼.柔性下肢外骨骼机器人研究进展及关键技术分析[J].机器人，2020，42(3): 365-384.
ZHAO X G，TAN X W，ZHANG B.Development of soft lower extremity exoskeleton and its key technologies:a survey[J].Robot，2020，42(3):365-384. （in Chinese）
[23］ ENG J J，WINTER D A.Kinetic analysis of the lower limbs during walking: what information can be gained from a three-dimensional model?[J].Journal of Biomechanics，1995，28(6):753- 758.
[24］ WHITTLE M W.Gait analysis:an introduction[M].Oxford，UK：Butterworth-Heinemann，2014:60-61.
[25］ MOONEY L M.Autonomous powered exoskeleton to improve the efficiency of human walking[D].Cambridge，MA，US：Massachusetts Institute of Technology，2016.

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