轮式机器人离散路径跟踪的Lyapunov控制器嵌入式实现
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1.云南民族大学电气信息工程学院 云南 昆明;2.云南省无人自主系统重点实验 室 云南 昆明

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国家自然科学基金项目(面上项目,重点项目,重大项目)、云南民族大学研究生科研创新基金项目


Embedded Implementation of a Lyapunov-based Controller for Discrete Path Tracking of Wheeled Mobile Robots
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School of Electrical and Information Engineering, Yunnan Minzu University, Kunming, Yunnan, China

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This project was funded by the National Natural Science Foundation of China (General Project, Key Project, Major Project) and the Graduate Research Innovation Fund Project of Yunnan Minzu University

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    摘要:

    本文提出了一种基于李雅普诺夫方法的散点路径跟踪控制器,融合软硬件协同设计理念。 针对传统连续路径跟踪方法难以应对非均匀、离散路径的问题,提出一种基于Lyapunov方法的散点路径跟踪控制器,通过构造新的Lyapunov函数并引入前瞻策略实现跟踪控制。MATLAB仿真与两类文献基准对比表明:本文控制器角度误差与横向误差相较文献1分别降低71.29%与53.23%,相较文献2分别降低87.74%与66.72%,且收敛速度提升。基于STM32平台完成软硬件协同实现与测试,在2 m/s下平均距离误差控制在0.4m以内,并在动态障碍场景保持稳定跟踪。结果表明该方法可在离散非均匀路径上实现高精度、强鲁棒的实时跟踪,具备工程落地性。

    Abstract:

    This paper addresses the tracking requirements for wheeled robots on non-uniformly discrete point paths, aiming to enhance the real-time performance, accuracy and robustness on resource-constrained platforms. A scatter path tracking controller based on the Lyapunov method is proposed. By constructing a new Lyapunov function and introducing a forward strategy, the tracking control is achieved. MATLAB simulations and comparison with two benchmark literatures show that the angle error and lateral error of the controller in this paper are respectively reduced by 71.29% and 53.23% compared with Literature 1, and by 87.74% and 66.72% compared with Literature 2, with an improved convergence speed. The soft and hard hardware co-implementation and testing were completed on the STM32 platform. The average distance error was controlled within 0.4m at 2 m/s, and stable tracking was maintained in dynamic obstacle scenarios. The results indicate that this method can achieve high-precision and robust real-time tracking on discrete non-uniform paths, and has engineering applicability..

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  • 收稿日期:2025-10-10
  • 最后修改日期:2026-02-03
  • 录用日期:2026-03-13
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