无人驾驶自主直升机的自适应性容错补偿控制,具有多重约束条件
Kun Yan1, Jinze Zhao1, Jiayong Fang2
1College of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China.
ISA transactions
|October 8, 2025
概括
本研究为无人驾驶自主直升机 (UAH) 提供了强大的故障耐受性控制 (FTC),解决了输入和和状态约束. 这种新方法确保了错误信号的边界融合,提高了UAH的飞行稳定性.
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
- 航空航天工程 航空航天工程
背景情况:
- 无人驾驶自主直升机 (UAH) 面临着输入和状态约束的挑战.
- 现有的控制方法与奇点问题作斗争,并在故障下保持稳定性.
研究的目的:
- 为UAH系统开发一个强大的反和故障耐受性控制 (FTC).
- 为了解决多重约束条件,包括执行器和和全状态约束.
- 为了解决传统屏障里雅普诺夫函数中的奇点问题.
主要方法:
- 为UAH建立了一个6度自由度的非线性动态模型.
- 构建了一个辅助系统来管理执行器和错误.
- 引入了一个时间变化的屏障利亚普诺夫函数 (TVBLF) 来处理状态约束和奇点.
- 整合了一种适应性补偿方法,用于FTC的反倒闭计划.
主要成果:
- 拟议的TVBLF技术有效地解决了障碍莱普诺夫函数中的奇点问题.
- 开发的反倒闭FTC计划确保不违反受限制飞行状态.
- 所有错误信号在故障条件下都显示有界的收.
结论:
- 开发的FTC反倒闭计划对具有多重约束条件的UAH系统有效.
- 该方法提高了对执行器和和状态约束的稳定性.
- 模拟结果验证了拟议的耐故障控制策略的有效性.
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