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基于数据驱动模型的近太空飞行器的自适应终端超扭转规定的性能控制器.
Tianchen Zhang1, Yibo Ding1, Xiaokui Yue1
1School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China; Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Sanhang Science &Technology Buliding, No. 45th, Gaoxin South 9th Road, Nanshan District, Shenzhen 518063, China; National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi'an 710072, China.
一个新的控制器通过使用预先确定的时间函数和LSTM数据来确保近太空车辆的性能. 这种自适应式超扭转规定的性能控制器 (DASTPC) 防止了螺杆喷射窒息,并提高了控制精度.
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:
- 近太空飞行器 (NSVs) 需要先进的控制来实现稳定的飞行和高效的喷气式飞机运行.
- 传统控制器与模型不确定性和外部干扰作斗争,可能导致性能下降和scramjet窒息.
研究的目的:
- 为NSVs设计一个数据驱动的自适应终端超扭转规定的性能控制器 (DASTPC).
- 为了确保短暂和稳定状态的性能,同时防止scramjet窒息.
- 加强对模型不确定性和外部干扰的控制稳定性.
主要方法:
- 提出了一种新的预定时间性能函数,以实现更快,更准确的错误收.
- 开发了一个非单元快速终端滑动表面和一个自适应的超扭曲触及法,以提高效率和减少喋喋不休.
- 利用深度循环神经网络 (LSTM) 进行数据驱动模型来处理NSV动态和不确定性.
- 采用同质的高阶滑动模式观察器来补偿外部干扰.
主要成果:
- DASTPC保证在预先确定的时间内追踪错误的趋同.
- 适应式达到法有效调整控制收益,减轻喋喋不休和过度收益.
- 基于LSTM的数据驱动模型成功地消除了模型的不确定性.
- 控制器有效地限制了攻击角度,确保了射器吸入条件.
结论:
- 与传统方法相比,DASTPC在模拟中表现出卓越的性能.
- 控制器在干扰和参数扰动下达到规定的性能极限.
- 拟议的方法提高了NSV飞行安全和运营效率.
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