首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Experimental Application of Robust and Converse Dynamic Control for Rotary Flexible Joint Manipulator System
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Experimental Application of Robust and Converse Dynamic Control for Rotary Flexible Joint Manipulator System

机译:鲁棒逆向动态控制在旋转柔性关节机械手系统中的实验应用

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摘要

Performance evaluation of trajectory tracking for a rotary flexible joint system is demonstrated in this paper. The robust and converse dynamic (RCD) technique is proposed and implemented for this evaluation. This control methodology is of the left inversion type, i.e., the control inputs are obtained by means of plant output error feedback. RCD control encompasses the baseline inverse (BI) control and sliding mode control-based discontinuous control element. The baseline inverse controller enforces the prescribed servo (virtual) constraints that represent the control objectives. The control objectives of the baseline inverse controller are enclosed in the form of servo (virtual) constraints which are inverted using Moore-Penrose Generalized Inverse (MPGI) to solve for the baseline control law. To boost the robust attributes against parametric uncertainties and disturbances, a discontinuous control function is augmented with baseline controller such that semiglobal practical stability is guaranteed in the sense of Lyapunov. To exhibit the effectiveness of RCD control in terms of tracking performance, computer simulations are conducted in Simulink/Matlab environment. Furthermore, the practical implementation is also investigated through a real-time experiment on Quanser's rotary flexible joint manipulator system. The experimental results obtained by RCD are compared to the conventional sliding mode and fractional-order control techniques.
机译:本文论证了旋转柔性接头系统轨迹跟踪的性能评估。为本次评估提出并实施了鲁棒逆动态 (RCD) 技术。该控制方法属于左反演类型,即通过被控对象输出误差反馈获得控制输入。RCD 控制包括基线逆 (BI) 控制和基于滑模控制的不连续控制元件。基线逆控制器强制执行表示控制目标的规定伺服(虚拟)约束。基线逆控制器的控制目标以伺服(虚拟)约束的形式封装,这些约束使用Moore-Penrose广义逆(MPGI)进行反演,以求解基线控制律。为了提高对参数不确定性和干扰的鲁棒性,使用基线控制器增强了不连续控制功能,从而保证了李雅普诺夫意义上的半全局实际稳定性。为了证明RCD控制在跟踪性能方面的有效性,在Simulink/Matlab环境中进行了计算机仿真。此外,还通过对Quanser旋转柔性关节机械手系统的实际实验进行了研究。将RCD的实验结果与传统的滑模和分数阶控制技术进行了比较。

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