补偿算法的应用来控制四轮移动机器人的速度和路径
Gennady Shadrin1, Alexander Krasavin1, Gaukhar Nazenova1
1School of Digital Technologies and Artificial Intelligence, D. Serikbayev East Kazakhstan Technical University, 19 Serikbayev Street, Ust-Kamenogorsk 070010, Kazakhstan.
Sensors (Basel, Switzerland)
|November 27, 2024
概括
一个新的控制算法通过补偿动态和外部影响来提高四轮机器人的速度和路径准确性. 这种方法确保了稳定的自主运动,这对于复杂环境中的精确导航至关重要.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 控制系统工程 控制系统工程
- 非线性动力学是一种非线性动力学.
背景情况:
- 自主移动机器人需要精确的导航控制.
- 外部干扰和系统动态挑战稳定的机器人运动.
- 现有的控制算法可能缺乏适应不同环境条件的适应性.
研究的目的:
- 开发一个调整的控制算法来控制四轮机器人的速度和路径.
- 通过补偿机器人动态和外部影响来提高控制精度.
- 为了在各种条件下实现稳定和精确的自主运动.
主要方法:
- 补偿对象动态和添加效应的分析方法.
- 机器人的反向数学模型的开发.
- 关闭循环控制系统的参考过器设计,对外部影响进行反补偿.
主要成果:
- 一个控制算法,确保自动移动的准确性,直到一个参考波器.
- 该算法通过高级反功能来计算外部影响.
- 通过在各种外部影响下对闭环系统的计算机模拟来证明效率.
结论:
- 开发的算法为前进和后退运动提供了强大的控制,提高了机动性.
- 这种方法对于在狭窄的空间中运行的机器人或需要高精度运动至关重要.
- 未来的工作包括用于机载微控制器实施的数字算法开发.
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