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Fuzzy fractional order force control of 6PUS-UPU redundantly actuated parallel robot based on inner model position control structure

机译:基于内部模型位置控制结构的6PUS-UPU冗余驱动并联机器人的模糊分数阶力控制

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摘要

The 6PUS-UPU parallel robot is a kind of multi-input multi-output, coupled and highly nonlinear system. Conventional control methods are no longer effective for this complex 6PUS-UPU parallel robot. In this paper, the Inner Model Control (IMC) method in the position control loop and the Fractional Order Fuzzy Proportional-Integral Derivative (FOPID) control method in the force loop are investigated. To study the validness of the IMC method and the FOPID control method, their performance is compared with other published control methods under disturbance and noise, such as three-loop control method, PI control method and Fuzzy Proportional-Integral-Derivative control method. The simulation results clearly demonstrate that the robustness of IMC method and the FOPID control method outperform other methods.
机译:6PUS-UPU并联机器人是一种多输入多输出,耦合且高度非线性的系统。对于这种复杂的6PUS-UPU并行机器人,常规控制方法不再有效。本文研究了位置控制回路中的内部模型控制(IMC)方法和力回路中的分数阶模糊比例-积分-微分(FOPID)控制方法。为了研究IMC方法和FOPID控制方法的有效性,将它们的性能与其他已公开的在干扰和噪声下的控制方法进行了比较,例如三环控制方法,PI控制方法和模糊比例-积分-微分控制方法。仿真结果清楚地表明,IMC方法和FOPID控制方法的鲁棒性优于其他方法。

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  • 作者单位

    Department of Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;

    Department of Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;

    Department of Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;

    Department of Informatics, Kings College London, Strand, London, WC2R 2LS, United Kingdom;

    Department of Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, 066004, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Parallel robot; Fuzzy control; Fractional order; Inner model control;

    机译:并联机器人模糊控制;分数阶;内部模型控制;

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