基于模糊纯追踪模型的隧道台车路径追踪控制
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西南交通大学轨道交通运维技术与装备四川省重点实验室 成都 610031

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TU689

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Path tracking control of Tunnel Trolley based on fuzzy pure pursuit model
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Key Laboratory of Sichuan Province for Rail Transit Operation and Maintenance Technology and Equipment, Southwest Jiaotong University, Chengdu 610031, China

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    摘要:

    针对目前隧道台车行走以人工操作为主要方式,为了提高其智能化程度和施工效率,提出了一种基于模糊纯追踪的台车路径跟踪控制方法,将纯追踪算法和模糊控制相结合,改变了传统台车以轮轨式或轮胎式手动操作行走的方式。建立了台车抽象数学模型,以此确定台车跟踪路径过程中的转向半径,进行了跟踪直线和变道曲线的仿真实验,并搭建试验小车对纯追踪模型和模糊纯追踪模型进行实验,将实验结果进行了对比。结果表明本文提出控制系统在直线路径追踪过程中最大横向误差不超过5cm,且在跟踪路径x=7.3m处达到收敛,趋于稳定后的平均绝对误差为0.004m。仿真和实验结果均验证了本文所提控制系统在提高收敛速度和稳定性方面是有效的。

    Abstract:

    At present, manual operation is the main mode of tunnel trolley walking. In order to improve its intelligence and construction efficiency, a trolley path tracking control method based on Fuzzy pure pursuit is proposed. The combination of pure pursuit algorithm and fuzzy control changes the mode of traditional trolley walking by wheel rail or tire manual operation. The abstract mathematical model of trolley is established to determine the turning radius in the process of trolley tracking path, the simulation experiments of tracking straight line and lane changing curve are carried out, and the test trolley is built to test the pure tracking model and fuzzy pure pursuit model, and the experimental results are compared. The results show that the maximum lateral error of the control system proposed in this paper is no more than 5cm in the process of linear path tracking, and converges at the tracking path x = 7.3m. The average absolute error after stabilization is 0.004m. The simulation and experimental results verify that the proposed control system is effective in improving the convergence speed and stability.

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杨言,刘放,郑雪楷,魏文清.基于模糊纯追踪模型的隧道台车路径追踪控制[J].电子测量技术,2022,45(7):14-20

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  • 在线发布日期: 2024-05-14
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