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首页> 外文期刊>Mechatronics: The Science of Intelligent Machines >Adaptive control for enhancing tracking performances of flexible tendon-sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES)
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Adaptive control for enhancing tracking performances of flexible tendon-sheath mechanism in natural orifice transluminal endoscopic surgery (NOTES)

机译:自适应控制可增强自然孔腔内镜手术(NOTES)中的柔性腱鞘机制的跟踪性能

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摘要

Tendon-sheath mechanism (TSM) has inherent advantages in the development of flexible robotic systems because of its simplicity, safety, flexibility, and ease of transmission. However, the control of TSM is challenging due to the presence of nonlinearities, namely friction, backlash-like hysteresis and the time-varying configuration of the TSM during its operations. Existing studies of TSM found in the literature only address tendon transmission under the assumption of fixed configuration and a complex inverse model of bacldash is required. In order to flexibly use the system in a wider'range of applications, the aforementioned nonlinear effects have to be characterized for the purpose of compensation. In this paper, we endeavor to address these issues by presenting a series of controller strategies, namely a feedforward control scheme under the assumption of known backlash-like hysteresis profile, and an adaptive control scheme to characterize the nonlinearities with unknown bacldash hysteresis and uncertainties. The proposed control schemes do not require information of the tendon-sheath configurations, which is challenging to obtain in practice, in the compensation structures. In the absence of output position feedback, a simple direct inverse model-based feedforward has been used that efficiently reduce the tracking errors. The feedforward compensation does not require any complex algorithm for the inverse model. In the presence of output position feedback, a nonlinear adaptive controller has been developed to enhance the tracking performances of the TSM regardless of the random change in the tendon-sheath configurations during compensation. In addition, exact values of the model parameters are not required. They are estimated online during the operations. A dedicated experimental setup is introduced to validate the proposed control approaches. The results show that the proposed control schemes significantly improve the tracking performances for the TSM in the presence of uncertainties and time-varying configurations during the operations. There is a significant decrease of 0.0158 rad(2) (before compensation) to smaller value of 0.0012 rad(2) (use feedforward control) and 8.2815 x 10(-5) rad(2) (use nonlinear controller) after compensation. (C) 2015 Elsevier Ltd. All rights reserved.
机译:肌腱鞘机制(TSM)由于其简单性,安全性,灵活性和易传输性,在柔性机器人系统的开发中具有固有的优势。然而,由于存在非线性,即摩擦,类似齿隙的磁滞和TSM在其运行期间的时变配置,TSM的控制具有挑战性。文献中发现的TSM的现有研究仅在固定配置的假设下解决了腱传输问题,并且需要复杂的bacldash逆模型。为了在更广泛的应用范围中灵活地使用该系统,必须以补偿为特征来表征上述非线性效应。在本文中,我们努力通过提出一系列控制器策略来解决这些问题,即在已知的类似齿隙的磁滞曲线的假设下的前馈控制方案,以及一种具有未知bacldash磁滞和不确定性的非线性特征的自适应控制方案。所提出的控制方案不需要在补偿结构中实际上很难获得的腱鞘构造信息。在没有输出位置反馈的情况下,已经使用了基于简单直接逆模型的前馈,可以有效地减少跟踪误差。前馈补偿不需要任何复杂的逆模型算法。在存在输出位置反馈的情况下,已经开发了一种非线性自适应控制器来增强TSM的跟踪性能,而与补偿期间腱鞘结构中的随机变化无关。另外,不需要模型参数的精确值。他们估计在行动期间在线。引入了专用的实验装置来验证所提出的控制方法。结果表明,在操作过程中存在不确定性和时变配置的情况下,所提出的控制方案显着提高了TSM的跟踪性能。补偿后,0.0158 rad(2)(使用前馈控制)和8.2815 x 10(-5)rad(2)(使用非线性控制器)的较小值显着减少了0.0158 rad(2)(补偿前)和较小的值。 (C)2015 Elsevier Ltd.保留所有权利。

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