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    吴青聪

    • 副教授 博士生导师
    • 招生学科专业:
      机械工程 -- 【招收博士、硕士研究生】 -- 机电学院
      航空宇航科学与技术 -- 【招收硕士研究生】 -- 机电学院
      机械 -- 【招收博士、硕士研究生】 -- 机电学院
    • 性别:男
    • 毕业院校:东南大学机械工程学院
    • 学历:东南大学机械学院
    • 学位:工学博士学位
    • 所在单位:机电学院
    • 办公地点:南航明故宫校区17-610
    • 电子邮箱:

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    Modeling and position control of a therapeutic exoskeleton targeting upper extremity rehabilitation

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    所属单位:机电学院

    发表刊物:PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

    关键字:Upper extremity exoskeleton rehabilitation sliding mode control proportional-integral-derivative sliding surface fuzzy hitting control law dynamic modeling

    摘要:The applications of robotics and automation technology to the therapies of neuromuscular and orthopedic impairments have received increasing attention due to their promising prospects. In this paper, we present an actuated upper extremity exoskeleton aimed to facilitate the rehabilitation training of the disable patients. A modified sliding mode control strategy incorporating a proportional-integral-derivative sliding surface and a fuzzy hitting control law is developed to ensure robust and optimal position control performance. Dynamic modeling of the exoskeleton as well as the human arm is presented and then applied to the development of the fuzzy sliding mode control algorithm. A theoretical proof of the stability and convergence of the closed-loop system is presented using the Lyapunov theorem. Three typical real-time position control experiments are conducted with the aim of evaluating the effectiveness of the proposed control scheme. The performances of the fuzzy sliding mode control algorithm are compared to those of conventional proportional-integral-derivative controller and conventional sliding mode control algorithm. The experimental results indicate that the position control with fuzzy sliding mode control algorithm has a bandwidth about 4Hz during operation. Furthermore, this control approach can guarantee the best control performances in term of tracking accuracy, response speed, and robustness against external disturbances.

    备注:卷: 231 期: 23 页: 4360-4373

    ISSN号:0954-4062

    是否译文:

    发表时间:2017-12-01

    通讯作者:王兴松