高超声速飞行器气动伺服弹性的自适应抑制

doi:10.7527/S1000-6893.2020.23698

空天往返飞行器制导控制技术专栏

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高超声速飞行器气动伺服弹性的自适应抑制

朴敏楠¹, 陈志刚², 孙明玮¹, 陈增强¹

1. 南开大学人工智能学院, 天津 300350;
2. 空间物理重点实验室, 北京 100076

收稿日期:2019-12-04 修回日期:2020-01-15 出版日期:2020-11-15 发布日期:2020-03-06
通讯作者: 孙明玮 E-mail:smw_sunmingwei@163.com
基金资助:
国家自然科学基金（61573197，61973175，51777013）

Adaptive aeroservoelasticity suppression of hypersonic vehicles

PIAO Minnan¹, CHEN Zhigang², SUN Mingwei¹, CHEN Zengqiang¹

1. College of Artificial Intelligence, Nankai University, Tianjin 300350, China;
2. Science and Technology on Space Physics Laboratory, Beijing 100076, China

Received:2019-12-04 Revised:2020-01-15 Online:2020-11-15 Published:2020-03-06
Supported by:
National Natural Science Foundation of China (61573197, 61973175, 51777013)

摘要/Abstract

摘要： 针对弹性高超声速飞行器的气动伺服弹性问题，提出一种结合线性自抗扰和自适应陷波器的综合控制方案。针对强耦合和强不确定性问题，采用线性自抗扰控制对总扰动进行快速估计和补偿。为了在最小化对刚体控制性能影响的同时实现对频率未知且时变的弹性模态的抑制，采用能够在线估计弹性频率的自适应陷波器。根据气动伺服弹性抑制问题的特点提炼出对自适应陷波器的性能需求。针对这些需求设计了两种基于递推最大似然法的多频率直接辨识方案——参数单独自适应和同时自适应方案。为了提高辨识算法在各种随机扰动下的鲁棒性，在此基础上提出一种在线有效性监督机制，并通过大量的数字仿真对两种方案进行了性能对比。最后，在弹性高超声速飞行器模型上进行仿真，仿真结果验证了所提控制方案的有效性。

关键词: 高超声速飞行器, 气动伺服弹性抑制, 自抗扰控制, 自适应陷波器, 多频率直接辨识

Abstract: A comprehensive control scheme combining active disturbance rejection control and an adaptive notch filter is proposed in this paper for the aeroservoelasticity suppression of hypersonic vehicles. For the strong coupling effects and uncertainties, active disturbance rejection control is employed to estimate and compensate the total disturbance in a fast manner. An adaptive notch filter is designed to suppress the flexible modes with unknown and time-varying frequencies and minimize the effect on the performance of the rigid-body control. Based on the characteristics of the aeroservoelasticity suppression problem, the performance requirements for the adaptive notch filter are proposed first. To meet these requirements, two schemes based on the recursive maximum likelihood algorithm, the individual and simultaneous adaptation schemes, respectively, are proposed to achieve direct estimation of multiple frequencies. An online supervision strategy is designed to improve the robustness of the adaptive algorithm under multiple perturbations. Extensive numerical simulations are conducted to compare the performance of these two schemes. Finally, simulations are performed on the flexible hypersonic vehicle model to validate the effectiveness of the proposed method.

Key words: hypersonic vehicles, aeroservoelasticity suppression, active disturbance rejection control, adaptive notch filters, direct estimation of multiple frequencies

中图分类号:

朴敏楠, 陈志刚, 孙明玮, 陈增强. 高超声速飞行器气动伺服弹性的自适应抑制[J]. 航空学报, 2020, 41(11): 623698-623698.

PIAO Minnan, CHEN Zhigang, SUN Mingwei, CHEN Zengqiang. Adaptive aeroservoelasticity suppression of hypersonic vehicles[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2020, 41(11): 623698-623698.

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E-mail：hkxb@buaa.edu.cn

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主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

高超声速飞行器气动伺服弹性的自适应抑制

Adaptive aeroservoelasticity suppression of hypersonic vehicles

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