文献类型：期刊文献

中文题名：基于模型预测控制的移动机器人户外导航方法

英文题名：Outdoor Navigation Method of Mobile Robot Based on Model Predictive Control

作者：郭明阳[1];刘爽[1]

机构：[1]华东理工大学机械与动力工程学院,上海200237

年份：2022

卷号：48

期号：2

起止页码：273

中文期刊名：华东理工大学学报（自然科学版）

外文期刊名：Journal of East China University of Science and Technology

收录：Scopus;北大核心:【北大核心2020】；CSCD:【CSCD_E2021_2022】；

基金：国家自然科学基金(51975214)。

语种：中文

中文关键词：户外导航;模型预测控制;轨迹规划;轨迹跟踪;运动控制

外文关键词：outdoor navigation;model predictive control;trajectory planning;trajectory tracking;motion control

摘要：针对户外巡检、户外清洁、智能农业等户外场景对自主机器人的使用需求,设计了一种具有很强实时性和稳定性的移动机器人户外导航方法。移动机器人收到户外GPS航迹点后,使用激光雷达实时获取周边环境点云并构建局部栅格图,在栅格地图内使用基于路段走向改进的A-star算法搜索局部避障路径,最后设计使用模型预测控制器以跟踪避障轨迹。为了验证该导航方法的可行性,在仿真和户外环境下分别进行了对比实验,实验结果表明所生成的轨迹稳定平滑并能有效避障,模型预测控制器轨迹跟踪精度高、耗时短,实现了户外移动机器人高效率、稳定导航。
Autonomous outdoor robots have been witnessed in recent years.The outdoor navigation is more difficult than the indoor one because the outdoor environment is more complicated.Various methods for outdoor navigation were proposed.Vision-based methods are vulnerable to weather,road marker-based methods lack flexibility and machine learning-based methods are unable to cope with the complex outdoor environments.A navigation method is proposed in this paper,which includes a real-time local grid map constructer,road direction-based trajectory planner,and model predictive control-based tracking controller.During the navigation task,the point cloud of the surrounding environment is obtained through a 16 thread radar,and the local grid map is constructed in real time.The mission goal is transformed to the robot coordinates,then the improved A-star algorithm based on the road direction is used to search the local obstacle avoidance path.Finally,a differential robot model predictive controller is designed to track the trajectory.Both simulation and experimental results are presented and discussed.It is revealed in the simulation tests that the designed planner can ensure collision avoidance with fewer turns and the designed motion controller has good tracking performance,which helps to reduce total mission execution time.It is shown in the outdoor experiment that the navigation method drives the robot to preselected mission point in turn with a stable motion.The distance between the robot and the obstacle is more than 1 m in the process of obstacle avoidance.Furthermore,there is no need to build a map in advance,the proposed method is more applicable and efficient in various outdoor environments.