基于RTK-GPS的轮式移动机器人轨迹跟随控制

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基于RTK-GPS的轮式移动机器人轨迹跟随控制

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基于RTK-GPS的轮式移动机器人轨迹跟随控制

谢德胜1, 徐友春2, 万剑2, 韩栋斌1, 陆峰1

1. 军事交通学院研究生管理大队, 天津 300161; 2. 军事交通学院军用车辆系, 天津 300161

Trajectory Tracking Control of Wheeled Mobile Robots Based on RTK-GPS

XIE Desheng1, XU Youchun2, WAN Jian2, HAN Dongbin1, LU Feng1

1. Postgraduate Training Brigade, Military Transportation University, Tianjin 300161, China; 2. Department of Military Vehicle, Military Transportation University, Tianjin 300161, China

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[/td][/tr][tr][td=1,1,773]摘要 针对轮式移动机器人的轨迹跟随问题，提出了一种基于RTK-GPS（real-time kinematic GPS）的轨迹跟随控制方法．首先，将GPS（全球定位系统）轨迹地图和机器人实时的RTK-GPS经提出的坐标转换模型转换到同一平面坐标系．因为RTK-GPS受干扰时会出现GPS点跳变，所以采用标准卡尔曼滤波器进行滤波，用最优估计值作为机器人真实的位置．通过遍历轨迹地图找寻初始最近目标点，然后不断更新目标点并采用角度偏差比例－微分控制器实时控制机器人的转向，实现了轮式移动机器人的轨迹跟随．最后，在改型轮式移动机器人上进行了实验，实验结果表明整体算法具有较高的可靠度，跟随具有代表性的“蛇”形轨迹和“8”字形轨迹时分别将偏差控制在0.42 m以内和0.67 m以内．[/td][td=1,6,217]
[/td][/tr][tr][td]关键词 ： 轮式移动机器人,  RTK-GPS,  坐标转换,  卡尔曼滤波,  轨迹跟随    [/td][/tr][tr][td]Abstract：Aiming at the trajectory tracking problem of wheeled mobile robots, a trajectory tracking control method based on RTK-GPS (real-time kinematic GPS) is proposed. Firstly, the GPS (global positioning system) trajectory map and the real-time RTK-GPS of the robot are converted to the same plane coordinate system through the proposed coordinate conversion model. Secondly, GPS trip points occur when RTK-GPS is disturbed, so the optimal estimate after filtering with standard Kalman filter is used as the robot's true position. The trajectory map is traversed to find the initial nearest target point, then the target point is updated continuously, and the proportional-derivative controller of angular deviation is adopted to control the steering of the robot in real time. By this way, the trajectory tracking of the wheeled mobile robot is achieved. The experiment is conducted on a modified wheeled mobile robot. Experimental results show that the algorithm has a high reliability. The deviations when tracking the snake-shaped and 8-shaped trajectories are within 0.42 m and 0.67m respectively.[/td][/tr][tr][td]Key words： wheeled mobile robot           RTK-GPS (real-time kinematic GPS)           coordinate conversion           Kalman filter   trajectory tracking[/td][/tr][tr][td]收稿日期: 2017-01-09     [/td][/tr][tr][td]

1:

TP242

[/td][/tr][tr][td]基金资助:国家自然科学基金重大项目（91220301）；国家973计划（2016YFB0100903）[/td][/tr][tr][td]通讯作者: 谢德胜,164625109@qq.com    E-mail:164625109@qq.com[/td][/tr][tr][td]作者简介: 李海丰(1984-),男,博士,讲师,硕士生导师.研究领域:计算机视觉,机器人导航.
胡遵河(1990-),男,硕士生.研究领域:移动机器人视觉SLAM.
陈新伟(1984-),男,博士,讲师.研究领域:智能机器人控制.

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