基于MIMO预测控制的六自由度机械臂高速视觉伺服

J. Gangloff, M. Mathelin
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引用次数: 27

摘要

提出了一种高速六自由度视觉伺服回路建模与控制的新方法。该建模和控制策略考虑了速度控制六自由度机械臂的动力学特性以及相机和采集系统的简化模型,以增加伺服回路的带宽。针对所提出的动态模型,采用多输入多输出(MIMO)广义预测控制(GPC)对视觉回路进行最优控制。实验中使用的视觉传感器是一个高速相机,每秒可以获取120张非隔行图像。用这个相机,我们实现了120赫兹的采样频率的视觉回路。最后给出了六自由度工业机器人的实验结果,验证了该模型的有效性。相对于更经典的控制策略(如PID类型控制),它们显示出环路性能的显著改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High speed visual servoing of a 6 DOF manipulator using MIMO predictive control
This paper presents a novel approach to model and control high speed 6 DOF visual servo loops. The modelling and control strategy takes into account the dynamics of a velocity controlled 6 DOF manipulator as well as a simplified model of the camera and acquisition system in order to increase the bandwidth of the servo loop. multi-input multi-output (MIMO) generalized predictive control (GPC) is used to optimally control the visual loop with respect to the proposed dynamic model. The visual sensor used in the experiments is a high speed camera that allows to acquire 120 noninterlaced images per second. With this camera, we achieve a sampling frequency of 120 Hz for the visual loop. Experimental results on a 6 DOF industrial robot are presented that validate the proposed model. They show drastic improvement of the loop performance with respect to more classical control strategies like PID type control.
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