光纤陀螺
温度控制
控制理论(社会学)
陀螺仪
卫星
光纤
航天器
计算机科学
理论(学习稳定性)
模糊控制系统
模糊逻辑
航空航天工程
工程类
控制工程
控制(管理)
人工智能
电信
机器学习
作者
Kaifeng Chang,Yunze Li,Weishu Wang
出处
期刊:Journal of Electronic Packaging
[ASME International]
日期:2023-03-11
卷期号:: 1-41
摘要
Abstract Fiber optic gyroscopes (FOGs) are widely used in attitude control systems of spacecraft such as satellites and Mars rovers for their superior spatial adaptability. However, changes in ambient temperature can cause errors in the FOG and reduce its output accuracy. In this paper, a fuzzy two-stage temperature control strategy applied to a satellite-borne three-axis integrated fiber optic gyroscope (TAIFOG) is proposed. And the control rules of the fuzzy two-stage temperature controller are described in detail. A thermodynamic model that can quickly and accurately respond to the dynamic thermal characteristics of the satellite-borne TAIFOG is also constructed based on the lumped method. The effectiveness of the proposed fuzzy two-stage temperature control strategy in improving the temperature stability of the satellite-borne TAIFOG in orbit is verified through numerical studies. Numerical results show that this fuzzy two-stage active temperature control strategy can fundamentally improve the thermal state of the satellite-borne TAIFOG and ensure that its sensitive element fiber optic coils maintain high temperature stability while the TAIFOG is in orbit. In addition, the start-up time of TAIFOG is reduced to 308 seconds compared to the case without active temperature control, which is a reduction of 96.27%. This active temperature control strategy is well suited for engineering applications to improve FOG output accuracy.
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