Tendon-sheath-driven manipulators (TSM) are widely used in minimally invasive surgical systems due to their long, thin shape, flexibility, and compliance making them easily steerable in narrow or tortuous environments. Many commercial TSM-based medical devices have non-linear phenomena resulting from their composition such as backlash hysteresis and dead zone, which lead to a considerable challenge for achieving precise control of the end effector pose. However, many recent works in the literature do not consider the combined effects and compensation of these phenomena, and less focus on practical ways to identify model parameters in realistic conditions. This paper proposes a simplified piecewise linear model to construct both backlash hysteresis and dead zone compensators together. Further, a practical method is introduced to identify model parameters using motor current from a robotic controller for the TSM. Our proposed methods are validated with multiple Intra-cardiac Echocardiography (ICE) catheters, which are typical commercial example of TSM, by periodic and non-periodic motions. Our results show that the errors from backlash hysteresis and dead zone are considerably reduced and therefore the accuracy of robotic control is improved when applying the presented methods.
翻译:Tendon-sheath驱动的操纵器(TSM)由于长、薄、灵活和合规性,很容易在狭小或曲折的环境中操作,因此被广泛用于极小侵入性外科手术系统。许多基于TSM的商用医疗装置由于其构成而具有非线性现象,如回旋歇斯底里和死区,导致对准确控制最终效果或表面构成的极大挑战。然而,文献中的许多近期著作没有考虑这些现象的综合效应和补偿,也没有重视在现实条件下确定模型参数的实用方法。本文建议采用简化的片面线性模型,以构建反斜歇斯底里和死区制备器。此外,还采用了一种实用方法,使用TSM机械控制器的发动机电流确定模型参数。我们提出的方法经过多次心脏内热心分析仪(ICE)导管验证,这是TSM的典型商业范例,定期和非周期性运动。我们的结果显示,反斜歇和死区错误在应用机器人控制的准确性方法时大大降低。