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$L_{1}$Robustness of Computed Torque Method for Robot Manipulators

机译: $ L_ {1} $ 机器人的计算转矩方法的鲁棒性

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This paper revisits computed torque method for robot manipulators and aims at developing its new framework based on the L1robustness, in which the Lnorm together with its induced norm is employed to characterize model uncertainties and a performance measure. More precisely, we consider the L1robust stability and performance for a given robot manipulator with a computed torque controller. We first show that the modelling errors in the computed torque method can be divided into an exogenous disturbance and a multiplicative model uncertainty, which are bounded in terms of the Lnorm and its induced norm, respectively. It is next shown that the robot manipulator with the computed torque controller can be equivalently represented by an interconnection of a continuous-time linear time-invariant (LTI) nominal plant and a stabilizing controller together with the L-induced norm bounded model uncertainty. Based on the interconnected representation, the L1robust stability condition and an upper bound of the L1performance against the exogenous disturbance with respect to all model uncertainties in a class of a bounded L-induced norm are dealt with by using the small-gain theorem. Finally, the effectiveness of the theoretical results is demonstrated through some experiment results.
机译:本文回顾了机器人操纵器的计算转矩方法,旨在开发基于L的新框架。 1 鲁棒性,其中L 范数及其归纳的范数用于表征模型不确定性和性能度量。更确切地说,我们考虑 1 具有给定的带计算扭矩控制器的机器人操纵器,具有强大的稳定性和性能。我们首先表明,计算转矩方法中的建模误差可以分为外生扰动和乘法模型不确定性,它们以L为边界 规范及其诱导规范。接下来显示,具有计算出的转矩控制器的机器人操纵器可以等效地由连续时间线性时不变(LTI)标称设备和稳定控制器与L的互连来表示。 引起的范数有界模型不确定性。基于互连表示,L 1 鲁棒稳定性条件和L的上限 1 关于有界L的所有模型不确定性的外源性扰动性能 归纳的范式通过使用小增益定理来处理。最后,通过一些实验结果证明了理论结果的有效性。

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