Huan Zhijie, Wang Jiamin, Zhu Lan, Zhong Zhixiong, Ma Weicheng, Chen Zhoufan
School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen, China.
Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Fuzhou, China.
Front Plant Sci. 2023 Mar 8;14:1133944. doi: 10.3389/fpls.2023.1133944. eCollection 2023.
In recent years, research on the manipulation and control of microrobot has gradually matured. In order to improve the intelligence of microrobots, navigation study also becomes an important research topic. In practice, microrobots could be disturbed by the flowing liquid when it moves in a microfluidic environment. As a result, the actual trajectory of microrobots will deviate from the intended one. In this paper, firstly, different algorithms for the navigation of microrobots in a simulated plant leaf vein environment are investigated. According to the simulation results, RRT*-Connect is then selected as the path planning algorithm with a relatively better performance. Based on the pre-planned trajectory, a fuzzy PID controller is further designed for precise trajectory tracking, which can effectively eliminate the random disturbance caused by micro-fluid flow during the motion and make it quickly recover to a stable movement state.
近年来,关于微型机器人的操纵与控制研究已逐渐成熟。为提高微型机器人的智能性,导航研究也成为一个重要的研究课题。在实际应用中,微型机器人在微流控环境中移动时会受到流动液体的干扰。因此,微型机器人的实际轨迹会偏离预期轨迹。本文首先研究了微型机器人在模拟植物叶脉环境中的不同导航算法。根据仿真结果,选择性能相对较好的RRT*-Connect作为路径规划算法。基于预先规划的轨迹,进一步设计了模糊PID控制器用于精确轨迹跟踪,该控制器能够有效消除运动过程中微流体流动引起的随机干扰,并使其快速恢复到稳定运动状态。