基于混合控制的汽车型移动机器人半规划轨迹跟踪分析与实现

M. Hernández-Pérez, K. Pérez-Daniel, G. Delgado-Reyes, P. G. Ramírez, L. Morales-Layja
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引用次数: 0

摘要

本研究工作通过混合控制对一种汽车型移动机器人进行计划和半计划轨迹监测的分析和实现。作为第一步,确定了基于差分机器人的汽车型机器人行为的数学模型。此外,采用经典控制策略在开环和闭环中进行了数值模拟,以遵循规划轨迹。随后,为了验证仿真、模型和设计的控制策略,进行了太阳方正PiCar-V型汽车型移动机器人样机的开发和实现。在Raspbian操作系统和Raspberry Pi 4b微型计算机的帮助下,实现了原型机和个人计算机之间的远程交互。最后,将相机作为传感器和一系列机电耦合实现,帮助移动机器人具有更大的自由度,视觉和控制轨迹跟踪。这种适应性可以通过在经典闭环控制和机器人内置摄像头支持的视觉控制之间切换来获得混合控制,从而使PiCar-V具有更大的自主性,可以遵循半规划的轨迹。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis and implementation of a car-type mobile robot for semi-planned trajectory tracking using hybrid control
The present research work carries out an analysis and implementation of a car-type mobile robot for monitoring planned and semi-planned trajectories through a hybrid control. As a first step, a mathematical model that describes the behavior of a car-type robot based on a differential robot is determined. In addition, numerical simulations are presented in an open-loop and later in a closed-loop using a classic control strategy to follow planned trajectories. Subsequently, in order to verify the simulations, the model, and the designed control strategies, the development and implementation of a SunFounder PiCar-V model car-type mobile robot prototype were carried out. The implementation has been done using the Raspbian operating system and the help of the Raspberry Pi 4 B microcomputer for remote interaction between the prototype and the personal computer. Finally, a camera is implemented as a sensor and a series of electromechanical couplings that help the mobile robot to have greater freedom, vision, and control over trajectory tracking. This adaptation allows obtaining a hybrid control by switching between classic closed-loop control and a visual control supported by the camera incorporated in the robot, thus allowing a greater autonomy of the PiCar-V to follow semi-planned trajectories.
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