适应性强大的约束后续控制器,用于未经调整的无人自行车机器人,具有不确定性
Han Zhao1, Wenyu Liu1, Xiaolong Chen1
1School of Mechanical Engineering, Hefei University of Technology, Hefei, Anhui 230009, China; Anhui Key Laboratory of Digital Design and Manufacturing, Hefei University of Technology, Hefei, Anhui 230009, China.
ISA transactions
|September 30, 2023
概括
本研究介绍了无人自行车机器人的新控制策略,有效地管理未知的系统不确定性. 提出的方法确保稳定性和精确控制,即使有不可预测的变化.
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
- 人工智能的人工智能
背景情况:
- 无人驾驶自行车机器人由于其固有的低表现和不稳定性而带来了重大控制挑战.
- 未知和时间变化的不确定性进一步复杂化了这些系统的控制.
研究的目的:
- 为无人自行车机器人开发一种新的控制方法,解决未知的系统不确定性.
- 为了确保约束后的行为,尽管有边界但未知的不确定性范围.
主要方法:
- 采用了约束后的控制视角.
- 实施了泄漏类型的适应性规律,以根据跟踪错误调整控制系统.
- 用利亚普诺夫稳定理论来证明系统性能.
主要成果:
- 拟议的适应性法律有效地限制了未知的不确定性的边界.
- 系统的统一边界性和统一终极边界性已被证明.
- 数字模拟证实了开发的控制策略的有效性.
结论:
- 这种新的控制方法成功地管理了无人驾驶自行车机器人系统中的不确定性.
- 该方法确保了稳定和有限的性能,并通过理论分析和模拟进行验证.
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