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Robust non-linear control design to an ionic polymer metal composite with hysteresis using operator-based approach

机译:基于操作员的方法对具有滞后作用的离子聚合物金属复合材料进行鲁棒的非线性控制设计

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摘要

In this article, robust non-linear control design to an ionic polymer metal composite (IPMC) with hysteresis, uncertainties and input constraints is studied. The IPMC is a novel smart polymer material, and many potential applications for low mass high displacement actuators in biomedical and robotic systems have been shown. In general, the IPMC has highly non-linear property and hysteretic behaviour, and the control input is subject to some constraints to ensure safety and longer service life of IPMC. Moreover, there exist uncertainties caused by identifying some physical parameters and approximate calculation in dynamic model. As a result, considering measurement error of parameters and model error, a practical nonlinear model is obtained, and a non-linear robust control design with hysteresis, uncertainties and input constraints using operator-based robust right coprime factorisation is proposed for an IPMC setup, where, the Prandtl-Ishlinskii (PI) model is used to describe the hysteresis, and which is identified using experimental data. The effectiveness of the proposed control method based on obtained non-linear model is confirmed by simulation and experimental results.
机译:在本文中,研究了具有滞后,不确定性和输入约束的离子聚合物金属复合材料(IPMC)的鲁棒非线性控制设计。 IPMC是一种新型的智能聚合物材料,在生物医学和机器人系统中,低质量高排量执行器具有许多潜在的应用。通常,IPMC具有高度的非线性特性和磁滞行为,并且控制输入受到一些约束,以确保IPMC的安全性和更长的使用寿命。此外,由于确定一些物理参数并在动态模型中进行近似计算,还存在不确定性。结果,考虑到参数的测量误差和模型误差,获得了实用的非线性模型,并针对IPMC设置,提出了一种基于滞后,不确定性和输入约束的非线性鲁棒控制设计,其中使用了基于算子的鲁棒右互质分解。其中,Prandtl-Ishlinskii(PI)模型用于描述磁滞现象,并使用实验数据进行识别。仿真和实验结果证实了所提出的基于获得的非线性模型的控制方法的有效性。

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  • 来源
    《Control Theory & Applications, IET》 |2012年第17期|p.2667-2675|共9页
  • 作者

    Deng M.; Wang A.;

  • 作者单位

    The Graduate School of Engineering, Tokyo University of Agriculture and Technology 2-24-16 Nakacho, Koganei-shi, Tokyo 184-8588, Japan;

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  • 正文语种 eng
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