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    姚佳烽

    • 副教授 硕士生导师
    • 招生学科专业:
      机械工程 -- 【招收硕士研究生】 -- 机电学院
      机械 -- 【招收硕士研究生】 -- 机电学院
    • 主要任职:日本千叶大学客座研究员,日本学术振兴会(JSPS)研究员
    • 性别:男
    • 毕业院校:日本熊本大学
    • 学历:熊本大学
    • 学位:工学博士学位
    • 所在单位:机电学院
    • 办公地点:明故宫校区17-515
    • 联系方式:http://biomeasurement.nuaa.edu.cn/
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    Dynamic modelling and parameter identification for cable-driven manipulator

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    所属单位:机电学院

    发表刊物:CURRENT SCIENCE

    关键字:Artificial bee colony algorithm cable-driven manipulator dynamics parameter identification

    摘要:Cable-driven manipulators (CDMs) have several advantages, but unknown dynamic characters restrict their control performance. The motors of CDMs are placed at the base and power is transmitted by cables between the motors and driving pulleys. These cables interact with the links of the manipulator, which poses a challenge for obtaining the dynamic model. In this study, the interaction between cables and manipulators is analysed, and a dynamic model is derived based on Newton-Euler method. To eliminate excessive variance in recursive equations, the impact of pretension force is considered and some equivalent assumptions are proposed. To improve the accuracy of parameter identification, limited terms of Fourier series are adopted for the identification trajectory. Considering various limitations of CDMs, such as maximum joint angle, speed and acceleration, artificial bee colony algorithm is used to optimize the coefficients of the identification trajectory. Simulations verify that the dynamic model can precisely calculate the driving torque of CDMs. Moreover, parameter identification experiment affirms the efficiency of the proposed parameter identification method.

    ISSN号:0011-3891

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    发表时间:2019-04-25

    合写作者:Yan, Fei,F70206490,鞠锋,姚佳烽,Chen, Bai,吴洪涛

    通讯作者:潘燕飞,王尧尧