面向实际工况的AGV局部路径规划及跟踪研究

doi:10.3778/j.issn.1002-8331.2205-0589

摘要/Abstract

摘要： 叉车型AGV的局部路径规划与跟踪控制是影响AGV运行效率与精度的关键环节。针对现有研究中未充分考虑实际工况约束条件，综合AGV运动性能约束、环境约束，建立了包含路径长度、最大曲率及起止点附近路径平滑度的多目标优化函数，采用三次均匀B样条曲线对AGV的局部路径进行规划，提出粒子群算法优化路径参数。在此基础上，基于纯跟踪法改进跟踪控制算法，并建立了面向实际工况的多种场景仿真实例。结果证明了局部路径规划算法和跟踪算法的有效性。

关键词: 叉车型自动导向车, 实际工况, 局部路径规划, 路径跟踪

Abstract: The local path planning and tracking control of forklift AGV is the key link affecting the operation efficiency and accuracy of AGV. In view of the constraints of real working conditions not fully considered in the existing research, integrating the AGV motion performance constraints and environmental constraints, a multi-objective optimization function including path length, maximum curvature and path smoothness near the starting and ending points is established, cubic uniform B-spline curve is used to plan the local path, and particle swarm optimization algorithm is proposed to optimize path parameters. Moreover, the path tracking algorithm is improved based on the pure pursuit method, and the simulation examples of various scenarios facing the real working conditions are established. The results show the effectiveness of the local path planning algorithm and tracking algorithm.

Key words: forklift automated guided vehicle, real working conditions, local path planning, path tracking

吴斌, 张新, VIALOVA Varvara. 面向实际工况的AGV局部路径规划及跟踪研究[J]. 计算机工程与应用, 2023, 59(20): 295-305.

WU Bin, ZHANG Xin, VIALOVA Varvara. Research on Local Path Planning and Path Tracking of AGV for Real Working Conditions[J]. Computer Engineering and Applications, 2023, 59(20): 295-305.

参考文献

[1] 陈光友，余粟.改进A*的多机器人双层路径规划算法[J].计算机工程与应用，2023，59（11）：312-319.
CHEN G Y，YU S.Improved A* multi robot bilevel path planning algorithm[J].Computer Engineering and Applications，2023，59（11）：312-319.
[2] 王云峰，曹小华，郭兴.基于改进A*算法和系统短期状态预测的仓储AGV路径规划方法[J/OL].计算机集成制造系统：1-22[2022-01-11].http：//kns.cnki.net/kcms/detail/11.5946.TP.20210809.1137.008.html.
WANG Y F，CAO X H，GUO X.Warehouse AGV path planning method based on improved A* algorithm and system short-term state prediction[J/OL].Computer Integrated Manufacturing Systems：1-22[2022-01-11].http：//kns.cnki.net/kcms/detail/11.5946.TP.20210809.1137.008.html.
[3] 刘双双，黄宜庆.多策略蚁群算法在机器人路径规划中的应用[J].计算机工程与应用，2022，58（6）：278-286.
LIU S S，HUANG Y Q.Application of multi-strategy ant colony algorithm in robot path planning[J].Computer Engineering and Applications，2022，58（6）：278-286.
[4] 田广键，代冀阳，应进，等.基于自适应分段势场法的多无人机航迹规划[J].系统仿真学报，2022，34（11）：2368-2376.
TIAN G J，DAI J Y，YING J，et al.Multi-UAV track planning based on adaptive segmented potential field method[J].Journal of System Simulation，2022，34（11）：2368-2376.
[5] 李二超，王玉华.改进人工势场法的移动机器人避障轨迹研究[J].计算机工程与应用，2022，58（6）：296-304.
LI E C，WANG Y H.Research on obstacle avoidance trajectory of mobile robot based on improved artificial potential field[J].Computer Engineering and Applications，2022，58（6）：296-304.
[6] 蔡泽，胡耀光，闻敬谦，等.复杂动态环境下基于深度强化学习的AGV避障方法[J].计算机集成制造系统，2023，29（1）：236-245.
CAI Z，HU Y G，WEN J Q，et al.Collision avoidance for AGV based on deep reinforcement learning in complex dynamic environment[J].Computer Integrated Manufacturing Systems，2023，29（1）：236-245.
[7] GUO N，LI C，WANG D，et al.Local path planning of mobile robot based on long short-term memory neural network[J].Automatic Control and Computer Sciences，2021，55（1）：53-65.
[8] DROGE G.Dual-mode dynamic window approach to robot navigation with convergence guarantees[J].Journal of Control and Decision，2021，8（2）：77-88.
[9] MOON J，LEE B Y，TAHK M J.A hybrid dynamic window approach for collision avoidance of VTOL UAVs[J].International Journal of Aeronautical and Space Sciences，2018，19（4）：889-903.
[10] 张旭东，徐福康，邹渊，等.融合TangentBug与Dubins曲线的智能轮式车辆局部路径规划算法[J].汽车工程，2021，43（6）：833-841.
ZHANG X D，XU F K，ZOU Y，et al.A local path planning algorithm for intelligent wheeled vehicle combining TangentBug and Dubins path[J].Automotive Engineering，2021，43（6）：833-841.
[11] 李红，王文军，李克强.基于B样条理论的平行泊车路径规划[J].中国公路学报，2016，29（9）：143-151.
LI H，WANG W J，LI K Q.Path planning for parallel parking based on B spline theory[J].China Journal of Highway and Transport，2016，29（9）：143-151.
[12] CHOI Y S，KIM D H，HWANG S W，et al.Dual-arm robot motion planning for collision avoidance using B-spline curve[J].International Journal of Precision Engineering and Manufacturing，2017，18（6）：835-843.
[13] HERRERO D，VILLAGRA J，MARTíNEZ H.Self-configuration of waypoints for docking maneuvers of flexible automated guided vehicles.[J].IEEE Transactions on Automation Science and Engineering，2013，10（2）：470-475.
[14] GIM S，ADOUANE L，LEE S，et al.Clothoids composition method for smooth path generation of car-like vehicle navigation[J].Journal of Intelligent &amp；Robotic Systems，2017，88（1）：129-146.
[15] 吕恩利，林伟加，刘妍华，等.基于B样条曲线的智能叉车托盘拾取路径规划研究[J].农业机械学报，2019，50（5）：394-402.
LYU E L，LIN W J，LIU Y H，et al.Pallet picking path planning of intelligent forklift based on B-spline curve[J].Transactions of the Chinese Society of Agricultural Machinery，2019，50（5）：394-402.
[16] 钱东海，孙林林，赵伟.基于三次B样条曲线的叉车型AGV路径规划研究[J].计算机测量与控制，2022，30（4）：177-181.
QIAN D H，SUN L L，ZHAO W.Study on forklift AGV path planning based on cubic B-spline curve[J].Computer Measurement and Control，2022，30（4）：177-181.
[17] 吕恩利，阮清松，刘妍华，等.基于动态识别区和B样条曲线的智能叉车避障路径规划[J].农业机械学报，2019，50（1）：359-366.
LYU E L，RUAN Q S，LIU Y H，et al.Obstacle avoidance path planning for intelligent forklift truck based on dynamic identification zone and B-spline curve[J].Transactions of the Chinese Society of Agricultural Machinery，2019，50（1）：359-366.
[18] 方忆湘，刘文学.基于几何特性的三次均匀B样条曲线构造描述[J].工程图学学报，2006，27（2）：96-102.
FANG Y X，LIU W X.Description of cubic uniform B-spline curve construction based on the geometric properties[J].Journal of Graphics，2006，27（2）：96-102.
[19] CHIARAVALLI D，CALIFANO F，BIAGIOTTI L.Physical-consistent behavior embodied in B-spline curves for robot path planning[J].IFAC-PapersOnLine，2018，51（22）：306-311.
[20] 贾全，张小超，苑严伟，等.拖拉机自动驾驶系统上线轨迹规划方法[J].农业机械学报，2018，49（4）：36-44.
JIA Q，ZHANG X C，YUAN Y W，et al.Guided trajectory planning method for tractor autopilot system[J].Transactions of the Chinese Society of Agricultural Machinery，2018，49（4）：36-44.
[21] 罗玉涛，周天阳，许晓通.基于遗传算法的四轮转向-驱动汽车时变LQR控制[J].华南理工大学学报（自然科学版），2021，49（3）：114-122.
LUO Y T，ZHOU T Y，XU X T.Time-varying LQR control of four-wheel steer/drive vehicle based on genetic algorithm[J].Journal of South China University of Technology（Natural Science Edition），2021，49（3）：114-122.
[22] 靳欣宇，张军，刘元盛，等.基于Stanley算法的自适应最优预瞄模型研究[J].计算机工程，2018，44（7）：42-46.
JIN X Y，ZHANG J，LIU Y S，et al.Research on adaptive optimal preview model based on Stanley algorithm[J].Computer Engineering，2018，44（7）：42-46.
[23] 张开美，张蕾，董恩国.基于LTV MPC的横向主动避撞控制策略研究[J].机械设计，2021，38（12）：81-88.
ZHANG K M，ZHANG L，DONG E G.Control strategy of lateral active collision avoidance based on LTV MPC[J].Journal of Machine Design，2021，38（12）：81-88.
[24] MOHAMMADI ASL R，MAHDOUDI A，POURABDOLLAH E，et al.Combined PID and LQR controller using optimized fuzzy rules[J].Soft Computing，2019，23（13）：5143-5155.
[25] AHN J，SHIN S，KIM M，et al.Accurate path tracking by adjusting look-ahead point in pure pursuit method[J].International Journal of Automotive Technology，2021，22（1）：119-129.