适应性模糊故障耐受性控制用于六轮月球探测车的协调驾驶,可减少跟踪错误
Duo-Qing Sun1,2,3, Gong-Li Yang4, Shi-Qian He5,6
1Department of General Education, Shandong Xiehe University, Jinan, 250109, China. sun_duoqing@126.com.
Scientific reports
|December 4, 2025
概括
这项研究介绍了一种对六轮月球探测器的耐故障自适应控制框架. 新型模糊逻辑系统确保了强大的跟踪性能,尽管存在不确定性和故障,提高任务可靠性.
科学领域:
- 机器人和控制系统 机器人和控制系统
- 航空航天工程 航空航天工程
- 人工智能的人工智能
背景情况:
- 月球探测器需要强大的控制系统来在不可预测的环境中导航.
- 系统不确定性,外部干扰和执行器故障对漫游车的运行构成重大挑战.
- 现有的控制策略可能缺乏对复杂的月球地形和潜在故障所需的适应性.
研究的目的:
- 为六轮月球探测器开发一个耐故障的自适应控制框架.
- 为应对系统不确定性,外部干扰和执行器故障所带来的挑战.
- 确保可靠和准确的跟踪性能用于月球探测器导航.
主要方法:
- 一个使用模糊逻辑系统的新型容错自适应控制框架.
- 使用模糊逻辑对未知的非线性动力学和故障函数进行近似计算.
- 整合一个补偿性控制术语以减轻跟踪错误.
- 基于Lyapunov的稳定性分析,以保证系统的趋同.
主要成果:
- 拟议的控制方案确保追踪错误汇聚到源头周围的一个小社区.
- 基于模糊逻辑的框架有效地处理系统不确定性和执行器故障.
- 强大的跟踪性能通过数值模拟来证明.
- 控制器设计和参数选择指南明确提供.
结论:
- 开发的耐故障自适应控制策略对于六轮月球探测器来说是有效和强大的.
- 模糊逻辑方法为管理复杂的动态和故障提供了一种可靠的方法.
- 控制器提高了在不确定的外星环境中的任务可靠性和性能.
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