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Iterative learning control applied to a gantry robot and conveyor system

机译:迭代学习控制应用于龙门机器人和输送机系统

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摘要

Synchronization is routinely required to coordinate the actions of the various sub-systems involved in process applications. This is commonly achieved through direct mechanical coupling, involving gears, drive belts and cams. Apart from the additional cost incurred, these components are subject to wear, constrain the layout of the plant and may have limited accuracy. It is shown in this paper that a mechanical linkage between two sub-systems may be replaced by instead implementing a control scheme comprising an iterative learning controller together with a supervisory control loop. To illustrate the approach, two types of iterative learning controller are first implemented on a gantry robot test facility to confirm the high levels of tracking accuracy that may be achieved. The supervisory control loop is then added to synchronize the 'pick and place' action of the robot with a conveyor system moving at constant velocity. Experimental results are provided to confirm both the accurate tracking performance produced by the iterative learning controller, and the high level of synchronization achieved by the overall scheme.
机译:通常需要同步来协调过程应用程序中涉及的各个子系统的操作。这通常是通过直接机械耦合实现的,包括齿轮,传动带和凸轮。除了产生额外的费用外,这些组件还容易磨损,限制了工厂的布局,并且精度有限。本文表明,可以通过实现包含迭代学习控制器和监督控制环的控制方案来代替两个子系统之间的机械链接。为了说明该方法,首先在龙门式机器人测试设备上实施两种类型的迭代学习控制器,以确认可以实现的高水平跟踪精度。然后添加监督控制回路,以使机器人的“拾取和放置”动作与以恒定速度运动的输送机系统同步。提供实验结果以确认迭代学习控制器产生的精确跟踪性能以及整个方案实现的高水平同步。

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