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Robust nonlinear control design for a bio-inspired robot arm with measurement uncertainties

机译:具有测量不确定性的受生物启发的机械臂的鲁棒非线性控制设计

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In this paper, a robust tracking control design for a bio-inspired robot arm with human-like motion mechanism based on human multi-joint viscoelastic properties is investigated by using robust right co-prime factorization approach. The motion mechanism and the measurement uncertainties of human multi-joint arm viscoelasticity are considered in designing operator bio-inspired controllers, and the time-varying estimated experimental data of human multi-joint arm viscoelasticity was used in simulation. Based on the proposed design scheme, the sufficient conditions for the robust stable were derived in considering the model uncertainties and the measurement uncertainties, and the output tracking performance was realized. The effectiveness of the proposed design scheme was confirmed by the simulation results based on experimental data.
机译:本文采用鲁棒的右互素分解方法研究了一种基于仿生运动机制的仿生机器人手臂的鲁棒跟踪控制设计,该仿生机器人具有类似于人的多关节粘弹特性。在设计操作员生物启发式控制器时,考虑了人多关节手臂粘弹性的运动机理和测量不确定性,并在仿真中使用了人多关节手臂粘弹性随时间变化的估计实验数据。基于提出的设计方案,在考虑模型不确定性和测量不确定性的前提下,给出了鲁棒稳定的充分条件,并实现了输出跟踪性能。基于实验数据的仿真结果证实了所提出设计方案的有效性。

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