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Robust adaptive output feedback tracking control for flexible-joint robot manipulators based on singularly perturbed decoupling

机译:基于奇摄动解耦的柔性关节机械臂鲁棒自适应输出反馈跟踪控制

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This paper presents a robust adaptive output feedback tracking controller for the flexible-joint robot manipulators to deal with the unknown upper bounds of parameter uncertainties and external disturbances. With applying the singular perturbation theory and integral manifold concept, the complex nonlinear coupled system of the flexible-joint robot manipulators is divided into a slow subsystem and a fast subsystem. A robust adaptive control scheme based on an improved linear parameterization expression is designed for the slow subsystem, and a saturation function is applied in the robust control term to make the torque output smooth. In the meantime, different from the previous approaches, the second-order derivative term of elastic torque is avoided by using the proposed computed torque method, which simplifies the implementation of the fast control law. Moreover, to carry out the whole control system with only position measurements, an approximate differential filter is involved to generate pseudo velocity signals for links and joint motors. In addition, an explicit but strict stability proof of the control system based on the theory of singularly perturbed systems is presented. Finally, simulation results verify the superior dynamic performance of the proposed controller.
机译:本文提出了一种鲁棒的自适应输出反馈跟踪控制器,用于柔性关节机器人操纵器,以处理未知的参数不确定性上限和外部干扰。应用奇异摄动理论和积分流形概念,将柔性关节机器人的复杂非线性耦合系统分为慢子系统和快子系统。针对慢子系统设计了基于改进线性参数化表达式的鲁棒自适应控制方案,并在鲁棒控制项中应用了饱和函数以使转矩输出平滑。同时,与以前的方法不同,通过使用所提出的计算转矩方法避免了弹性转矩的二阶导数项,从而简化了快速控制律的实现。此外,为了仅通过位置测量来执行整个控制系统,需要使用一个近似的差分滤波器来生成用于链节和关节电动机的伪速度信号。此外,基于奇摄动系统理论,给出了控制系统的显式但严格的稳定性证明。最后,仿真结果验证了所提出控制器的出色动态性能。

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