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Infinite-Dimensional Pole-Optimization Control Design for Flexible Structures Using the Transfer Matrix Method

机译:传递矩阵法的柔性结构无穷极优化设计

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This paper presents an approach to control design for flexible structures based on the transfer matrix method (TMM). The approach optimizes the closed-loop pole locations while working directly on the infinite-dimensional TMM model. The approach avoids spatial discretization, eliminating the possibility of modal spillover. The design strategy is based on an iterative process of optimizing the closed-loop pole locations using a Nelder-Mead simplex algorithm and then performing hardware-in-the-loop experiments to see how the pole locations are affecting the closed-loop step response. The evolution of the cost function used to optimized the pole locations is discussed. Contour plots (three dimensional Bode plots) in the complex s-plane are used to visualize the pole locations. A computationally efficient methodology for finding the closed-loop pole locations during the optimization is presented. The technique is applied to a single-flexible-link robot and experimental results show that the optimization procedure improves upon an initial, Bode-based compensator design, leading to a lower settling time.
机译:本文提出了一种基于传递矩阵法(TMM)的柔性结构控制设计方法。该方法可在直接处理无限维TMM模型时优化闭环极点位置。该方法避免了空间离散化,消除了模式溢出的可能性。该设计策略基于以下迭代过程:使用Nelder-Mead单形算法优化闭环极点位置,然后执行硬件在环实验,以了解极点位置如何影响闭环阶跃响应。讨论了用于优化极点位置的成本函数的演变。复杂s平面中的等高线图(三维Bode图)用于可视化极点位置。提出了一种在优化过程中找到闭环极点位置的有效计算方法。将该技术应用于单挠性链接机器人,实验结果表明,该优化过程在基于Bode的补偿器初始设计时得到了改进,从而缩短了建立时间。

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