Magnetic Microrobot Control Based on a Designed Nonlinear Disturbance Observer

Qigao Fan, Hao Wang, Xiaoyu Wu, Yueyue Liu
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Abstract

Medical microrobots show great promise for precision therapy and drug delivery, such as the treatment of chronic total occlusions. However, magnetic medical microrobots are affected by several factors, such as the medium, the geometry of the microrobots, and the imaging procedure. Notably, traditional control approaches make it difficult or even impossible to obtain reliable physical motion performance of the system. Since the microrobots suffers various uncertainties, the dynamics of microrobots in human tissues (blood or body fluids) is highly nonlinear with multiple uncertainties. Therefore, to achieve accurate motion tracking control for microrobots control system, the obstacles mentioned above must be overcome. In this paper, aiming at the motion control problem of magnetically driven microrobots under the conditions of input saturation constraints, unknown disturbances and model uncertainties, an observer-based control scheme is designed, which uses the minimum knowledge of the system to achieve precise control. The proposed controller consists of an observer designed to obtain an unknown nonlinear magnetic driven microrobots system. According to the designed control law, the exponential disturbance tracking is guaranteed. The experimental results show that the proposed method can effectively overcome the interference problem caused by the unknown uncertainties. Besides, the control performance can be guaranteed.
基于设计的非线性扰动观测器的磁微机器人控制
医疗微型机器人在精确治疗和药物输送方面显示出巨大的前景,例如慢性全闭塞的治疗。然而,磁性医疗微型机器人受到几个因素的影响,如介质、微型机器人的几何形状和成像程序。值得注意的是,传统的控制方法使得难以甚至不可能获得可靠的系统物理运动性能。由于微型机器人具有多种不确定性,因此微型机器人在人体组织(血液或体液)中的动力学是高度非线性的,具有多重不确定性。因此,要实现微型机器人控制系统的精确运动跟踪控制,必须克服上述障碍。本文针对磁驱动微机器人在输入饱和约束、未知干扰和模型不确定性条件下的运动控制问题,设计了一种基于观测器的控制方案,利用系统的最小知识实现精确控制。该控制器由一个观测器组成,用于获取未知非线性磁驱动微型机器人系统。根据所设计的控制律,保证了系统对指数扰动的跟踪。实验结果表明,该方法能有效克服未知不确定因素引起的干扰问题。同时,控制性能得到了保证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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