太空飞船态度测量和控制使用VSMSCSG和分数顺序归零神经网络自适应方向法
Lei Li1, Yuan Ren2, Weijie Wang3
1Graduate School, Space Engineering University, Beijing 101400, China.
Sensors (Basel, Switzerland)
|February 10, 2024
概括
这项研究引入了一种新的航天器态度控制方法,使用变速磁悬浮控制敏感陀螺仪 (VSMSCSGs) 和分数顺序归零神经网络 (FO-ZNN) 引导法来提高准确性和更快的融合.
科学领域:
- 航空航天工程 航空航天工程
- 控制系统理论 控制系统理论
- 人工智能的人工智能
背景情况:
- 太空飞船的态度控制要求高精度和快速融合,特别是在动态条件下.
- 由于高动态场景中的复杂矩阵运算,传统的转向规律在准确性和速度方面面临限制.
- 可变速度磁悬浮控制敏感陀螺仪 (VSMSCSGs) 提供了集成态度测量和控制的潜力.
研究的目的:
- 提出一个先进的航天器态度测量和控制方法.
- 在高动态环境中提高转向规律的准确性和融合速度.
- 为了提高整体的航天器态度测量和控制性能.
主要方法:
- 集成VSMSCSGs作为执行器和态度速率传感器,用于态度测量和控制.
- 开发一种新型的自适应式方向规律,利用一个分数顺序归零神经网络 (FO-ZNN).
- 用FO-ZNN输出替换传统的矩阵伪反向以减轻精度下降.
- 包含一个新的权重功能,包含旋转器偏斜角度,以防止和.
主要成果:
- 拟议的FO-ZNN指导法表明,与传统的零位神经网络相比,甚至在外部干扰的情况下,融合速度更快.
- 该FO-ZNN方法克服了与复杂的矩阵伪反向运算相关的精度限制.
- 半物理模拟验证了集成VSMSCSG和FO-ZNN方法的正确性和卓越性能.
- 添加的权重功能有效地防止了旋转器偏斜角度和.
结论:
- 拟议的方法显著提高了航天器态度控制的准确性和收速度.
- 在动态条件下,FO-ZNN方向规律提供了增强的稳定性和性能.
- 集成VSMSCSGs和FO-ZNN为先进的航天器态度控制提供了一种优越的方法.
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