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Compact LFT-LPV modeling with automated parameterization for efficient LPV controller synthesis

机译:具有自动参数设置功能的紧凑型LFT-LPV建模,可实现有效的LPV控制器综合

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A systematic approach to the derivation of Linear Fractional Transformation (LFT)-based Linear Parameter-Varying (LPV) representations for descriptor systems is proposed. Explicit compact rational and affine representations with full non-square parameter blocks are formulated. Based on these, LPV parameterizations of the blocks are then derived automatically via a Principle Component Analysis (PCA)-based algorithm that only requires model coefficients and allows straightforward approximation of LFT-LPV models. A two-stage multiplier approach is employed during controller synthesis, which ensues low synthesis and implementation complexity compared to standard approaches. The methodology is applied to a three-degree of freedom (3-DOF) robotic manipulator, which shows improved performance at lower implementation complexity compared to previously published results.
机译:提出了一种基于线性分数变换(LFT)的描述符系统线性参数变化(LPV)表示的系统推导方法。制定了具有完整非平方参数块的显式紧凑有理和仿射表示。基于这些,然后通过基于主成分分析(PCA)的算法自动导出块的LPV参数化,该算法仅需要模型系数,即可直接近似LFT-LPV模型。在控制器综合过程中采用了两级乘法器方法,与标准方法相比,它具有较低的综合和实现复杂性。该方法应用于三自由度(3-DOF)机器人操纵器,与以前发表的结果相比,该方法在较低的实现复杂性下显示出更高的性能。

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