基于神经模糊系统的比例导数增益优化立场控制在LEO扰动下的CubeSat
Muhammad Faisal Shehzad1, Aamer Bilal Asghar1, Mujtaba Hussain Jaffery1
1Department of Electrical and Computer Engineering, COMSATS University Islamabad, Lahore, 54000, Punjab, Pakistan.
Heliyon
|October 9, 2023
概括
这项研究介绍了一种带有模糊推理 (ANFIS) 控制器的人工神经网络,用于纳米立方卫星的态度稳定. ANFIS-PD控制器增强了对空间干扰的稳定性,性能优于传统方法.
科学领域:
- 航空航天工程 航空航天工程
- 控制系统 控制系统
- 人工智能的人工智能
背景情况:
- 纳米立方卫星面临着显著的态度稳定挑战,因为它们的架构受到约束.
- 经典的比例积分导数 (PID) 控制器在环境干扰下,在低地球轨道上难以保持最佳稳定性.
研究的目的:
- 开发一个先进的控制系统,用于纳米立方卫星的态势稳定.
- 为了自主调整比例导数 (PD) 控制器收益,使用带有模糊推理 (ANFIS) 的人工神经网络来抵消空间干扰.
主要方法:
- 解析的立方卫星动力学和动力学,包括反应轮和低地球轨道干扰 (重力梯度,大气,太阳辐射,磁力扭矩).
- 开发并模拟了一个基于ANFIS的PD控制器,用于自主增益调整.
- 根据PID,ANN和RNN方法对控制器性能进行评估.
主要成果:
- 该ANFIS-PD方案证明了有效的三轴态度可控性为CubeSat.
- 实现了最小的根的平均平方误差,在20秒内实现了滚动,俯冲和偏航轴的快速稳定.
- 在模拟中表现优于传统的PID,ANN和RNN控制方法.
结论:
- 拟议的ANFIS-PD控制器为纳米立方卫星的态势稳定提供了一个强大的解决方案.
- 自主增强调整有效地管理空间干扰,增强卫星控制.
- 这种先进的控制策略对于保持CubeSat在苛刻的空间环境中的运行完整性至关重要.
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