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External Force Disturbance Rejection in Robotic Arms: An Adaptive Approach

机译:机械臂中的外力干扰抑制:一种自适应方法

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摘要

This paper is devoted to the problem of force sensorless disturbance rejection in robot manipulators. In the proposed approach, the control system uses position sensor signals and estimated values of external forces, instead of force sensor signals. The estimation process is performed via an adaptive force estimator. Then the estimated force vector is utilized to compensate for the force disturbance effect in order to achieve a better trajectory tracking performance. The force estimation is carried out directly using no environment model. Asymptotical stability of the proposed control system is analyzed by the invariant set and Lyapunov direct method establishing an appropriate theorem. Finally, the performance of the proposed control system is verified using numerical simulation.
机译:本文致力于解决机械手中无力传感器的干扰抑制问题。在所提出的方法中,控制系统使用位置传感器信号和外力的估计值来代替力传感器信号。估计过程通过自适应力估计器执行。然后,利用估计的力矢量来补偿力扰动效应,以获得更好的轨迹跟踪性能。不使用环境模型直接进行力估算。通过不变集和Lyapunov直接方法建立了合适的定理,分析了所提出控制系统的渐近稳定性。最后,通过数值仿真验证了所提出控制系统的性能。

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