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MIMO Feedback Linearization of Redundant Robotic Systems using Task-Priority Operational Space Control ?

机译:使用任务优先级操作空间控制的冗余机器人系统的MIMO反馈线性化

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Redundant robotic systems are designed to accomplish multiple tasks simultaneously. Task-priority control schemes exploit system redundancy by arranging tasks in priority and ensuring strict prioritization between tasks at different priority levels. This paper investigates the relationship between task-priority operational space control and feedback linearization of multiple-input-multiple-output (MIMO) systems. We derive sufficient conditions for input-output feedback linearization and input-to-state feedback linearization of a redundant robotic system influenced by a task-priority operational space pre-feedback control law. Moreover, we analyze the effect of incompatible tasks and provide sufficient conditions for input-output and input-to-state feedback linearizability of the controllable dimensions of incompatible lower-priority tasks. These conditions can be employed when designing the operational space tasks in order to guarantee both task space and joint space stability.
机译:冗余机器人系统旨在同时完成多个任务。任务优先级控制方案通过在优先级安排任务并确保不同优先级的任务之间严格的优先级来利用系统冗余。本文研究了任务优先运行空间控制与多输入多输出(MIMO)系统的反馈线性化的关系。我们导出了充分的输入 - 输出反馈线性化条件,并通过任务优先运营空间预反馈法影响的冗余机器人系统的输入到状态反馈线性化。此外,我们分析了不兼容任务的效果,并为输入输出和输入到状态反馈的充分条件提供了不兼容的低优先级任务的可控尺寸的线性化。在设计操作空间任务时可以采用这些条件,以保证任务空间和联合空间稳定性。

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