基于斯坦利-PID控制的四轮方向盘AGV精确运动轨迹控制方法的研究
Weijie Fu1,2,3, Yan Liu2,3, Xinming Zhang1,2,3
1School of Mechatronic Engineering and Automation, Foshan University, Foshan 528001, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
本研究介绍了一种控制系统,用于稳定和准确的运动四轮方向盘自动引导车辆 (AGVs). 斯坦利-PID算法在先进移动机器人的模拟中表现出卓越的稳定性和精度.
科学领域:
- 机器人和自动化机器人与自动化
- 控制系统工程 控制系统工程
- 机械工程 机械工程
背景情况:
- 机器人技术越来越多的应用需要适应性移动机器人,用于专门的环境.
- 自动引导车辆 (AGV) 的精确和稳定的控制对于移动机器人技术的发展至关重要.
- 现有的控制系统可能缺乏复杂的AGV机动所需的精度.
研究的目的:
- 设计一个控制系统,以实现四轮转向AGV的稳定和准确的运动.
- 为了验证Stanley-PID控制算法对AGV运动控制的有效性.
- 提高AGV在工业和专业环境中的性能和适用性.
主要方法:
- 开发一个控制系统,包括设备连接和调试.
- 一个四轮转向AGV的动力建模.
- 选择和对运动控制算法的比较分析,重点是Stanley-PID,通过MATLAB 2021a模拟验证.
主要成果:
- 斯坦利-PID控制算法在指导四轮转向AGV时表现出卓越的稳定性.
- 模拟结果证实了斯坦利-PID算法的精确控制能力.
- 拟议的控制系统有效地实现了稳定和准确的AGV运动.
结论:
- 斯坦利-PID算法对于在四轮转向AGV中实现精确和稳定的运动控制非常有效.
- 该研究验证了拟议的控制系统提高AGV性能的能力.
- 这项研究通过改进的AGV控制策略,有助于移动机器人的进步.
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