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Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers

机译:输出反馈控制器,用于机器人操纵器的轨迹跟踪,没有速度测量和观察者

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The main contribution of this study is the design of a trajectory tracking controller using output feedback applied to robot manipulators. The given controller does not need velocity measurements for its implementation and to achieve the tracking control objective. The structure of the proposed scheme consists of a proportional gain plus a dynamic gain resulting from a first-order system. The dynamic gain is not motivated by any observer nor estimator to approach the joint velocity. The dynamic linear controller has three tunable gain parameters for the one degrees-of-freedom (DOF) systems and two gain matrices for the nDOF lagrangian systems. These gains can be tuned following the conditions given in the stability analysis. An adaptive estimator of the viscous friction coefficient is added to robustify the closed-loop design; the analysis for the estimator is presented for one DOF systems and nDOF manipulators. The closed-loop stability analyses are developed by using Lyapunov's theory. The performance of the proposed control structure is illustrated and compared with other controllers such as the PID controller and the first-order sliding mode algorithm via numerical simulations. Moreover, real-time experiments are carried out in a two DOF SCARA robot manipulator.
机译:本研究的主要贡献是使用应用于机器人操纵器的输出反馈的轨迹跟踪控制器的设计。给定的控制器不需要实施速度测量,并实现跟踪控制目标。所提出的方案的结构包括比例增益以及由一阶系统产生的动态增益。动态增益不是由任何观察者和估计器的动力,以接近联合速度。动态线性控制器具有三个自由度(DOF)系统的三个可调增益参数和两个增益矩阵 n DOF拉格朗日系统。可以在稳定性分析中给出的条件下调整这些收益。添加粘性摩擦系数的自适应估计器以强制闭环设计;为一个DOF系统提供了估算器的分析 n DOF操纵器。通过使用Lyapunov的理论开发闭环稳定性分析。示出了所提出的控制结构的性能,并与其他控制器(例如PID控制器)和通过数值模拟的一阶滑模算法进行比较。此外,实时实验是在两个DOF Scara机器人操纵器中进行的。

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