基于激光雷达实测风场的前馈阵风载荷控制

戴玉婷; 胡雅婷; 杨超; 陈同银

doi:10.7527/S1000-6893.2026.33489

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DOI: https://doi.org/10.7527/S1000-6893.2026.33489

基于激光雷达实测风场的前馈阵风载荷控制

戴玉婷 ,
胡雅婷 ,
杨超 ,
陈同银

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1. 北京航空航天大学
2. 沈阳飞机设计研究所

收稿日期: 2026-02-09

修回日期: 2026-05-27

网络出版日期: 2026-05-28

基金资助

国家自然科学基金;国家自然科学基金

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Feedforward Gust Load Alleviation Control Based on Lidar-Measured Wind Fields

DAI Yu-Ting ,
HU Ya-Ting ,
YANG Chao ,
CHEN Tong-Yin

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Received date: 2026-02-09

Revised date: 2026-05-27

Online published: 2026-05-28

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摘要

前馈阵风载荷控制根据探测的阵风风场与先验知识，驱动舵面偏转以抑制阵风响应。开发了基于激光雷达的多点风速测量方法与飞机运动下的风速解算方法，能测量运动飞机的前方30到70米处不同位置的垂直风速与水平风速。对激光测风雷达进行地面静、动平台下的风速测量试验，验证了机载激光雷达风速测量的正确性。在此基础上，在楼房10楼顶层平台采用激光测风雷达连续3天测量前方30-70米的开阔地带自然风速，发现如下规律：水平风速随时间连续、随空间过渡均匀，而垂向风速在空间、时间尺度上变化明显，不同的时空风速使用策略表明，采用较高的时间采样率能够得到更准确的风场。基于激光雷达实测的风速，发展CFD环境的弹性机翼流固耦合仿真[1]与先验知识驱动的前馈阵风载荷控制。四种实测阵风工况下，前馈阵风载荷控制的均方根、峰值减缓率在58.4 ~ 85.5%，对于风速脉动剧烈或峰值大的阵风工况，前馈控制均能产生较好的阵风减缓效果。与前馈控制相比，反馈控制在风速迅速变化时难以及时控制或超调。

关键词： 阵风减缓; 激光测风雷达; 前馈控制; 流固耦合; 阵风载荷

本文引用格式

戴玉婷 , 胡雅婷 , 杨超 , 陈同银 . 基于激光雷达实测风场的前馈阵风载荷控制[J]. 航空学报, 0 : 1 -0 . DOI: 10.7527/S1000-6893.2026.33489

Abstract

Feedforward gust load control (GLC) suppresses gust responses by driving control surface deflections based on detected gust wind fields and prior knowledge. In this study, a LiDAR-based multi-point wind speed measurement method and a wind speed calculation algorithm considering aircraft motion were developed, enabling the measurement of vertical and horizontal wind speeds at various positions 30-70 meters ahead of a moving aircraft. Ground-based experiments on both static and dynamic platforms were conducted to verify the accuracy of the airborne LiDAR wind measurement system. Subsequently, a three-day continuous measurement of natural wind speeds over an open area (30-70m range) was performed using the LiDAR from a 10th-floor rooftop platform. The results indicate that while horizontal wind speed is continuous in time and transitions uniformly in space, vertical wind speed exhibits significant variations across both spatial and temporal scales. Evaluations of different spatiotemporal sampling strategies suggest that a higher temporal sampling rate yields a more accurate representation of the wind field. Based on the LiDAR-measured wind speeds, a fluid-structure interaction simulation for elastic wings was developed within a CFD environment, integrated with prior knowledge-driven feedforward GLC. Under four measured gust conditions, the feedforward GLC achieved reduction rates of 58.4% to 85.5% in terms of root mean square and peak values. For gust conditions characterized by intense fluctuations or high peak velocities, the feedforward control demonstrated robust mitigation effects. In contrast, feedback control struggled with latency or overshoot during rapid wind speed transitions.

Key words： Gust Alleviation; Lidar Wind Measurement; Feedforward Control; Fluid-Structure Interaction; Gust Load

参考文献

[1]Hu Y, Dai Y, Li J, et al.Reinforcement learning for gust load control of an elastic wing via camber morphing at arbitrary sinusoidal gusts[J]. Aerospace Science and Technology, 2025, 162:110174.[J].Aerospace Science and Technology, 2025, 162(162):110174-110174 [2]Bi Y, Xie C, An C, et al.Gust load alleviation wind tunnel tests of a large-aspect-ratio flexible wing with piezoelectric control[J].Chinese Journal of Aeronautics, 2017, 30(1):292-309 [3]Haghighat, S.Liu,HH.,Martins,J.R. Model-predictive gust load alleviation controller for a highly flexible aircraft[J].Journal of Guidance, Control, and Dynamics, 2012, 35(6):1751-1766 [4]He T, Su W.Gust Alleviation of Highly Flexible Aircraft with Model Predictive Control[C]//AIAA SCITECH 2023 Forum, 2023: 0586. [5]Liu X, Sun Q, Cooper J E.LQG based model predictive control for gust load alleviation[J]. Aerospace science and Technology, 2017, 71: 499-509.[J].Aerospace science and Technology, 2017, 71(71):499-509 [6]Duessler S., Mylvaganam T., Palacios R. LQG-based Gust Load Alleviation Systems for Very Flexible Aircraft[C]//AIAA Scitech 2023 Forum. 2023: 2571 [7]Ting K Y, Mesbahi M, Livne E.Aeroservoelastic Wind Tunnel Evaluation of Preview H 2 and H∞ Gust Load Alleviation[J].Journal of Guidance, Control, and Dynamics, 2023, 46(11):2044-2062 [8]Fournier H, Massioni P, Tu Pham M, et al.Robust gust load alleviation of flexible aircraft equipped with lidar[J].Journal of Guidance, Control, and Dynamics, 2022, 45(1):58-72 [9]Alam M, Hromcik M, Hanis T.Active gust load alleviation system for flexible aircraft: Mixed feedforward/feedback approach[J]. Aerospace Science and Technology, 2015, 41: 122-133.[J].Aerospace Science and Technology, 2015, 41(41):122-133 [10]Herrmann, B.Brunton,SL.,Pohl,J. E. Gust mitigation through closed-loop control. II. Feedforward and feedback control[J].Physical Review Fluids, 2022, 7(2):024706-024706 [11]Zeng J, Moulin B, De Callafon R, et al.Adaptive feedforward control for gust load alleviation[J].Journal of Guidance, control, and dynamics, 2010, 33(3):862-872 [12]Wildschek A, Maier R, Hahn K U, et al.Flight test with an adaptive feed-forward controller for alleviation of turbulence excited wing bending vibrations[C]//AIAA Guidance, Navigation, and Control Conference. 2009: 6118. [13]Zhou Y, Wu Z, Yang C.Study of Gust Calculation and Gust Alleviation: Simulations and Wind Tunnel Tests[J].Aerospace, 2023, 10(2):139-139 [14]Zhou Y, Wu Z, Yang C.Gust alleviation and wind tunnel test by using combined feedforward control and feedback control[J].Aerospace, 2022, 9(4):225-225 [15]Zhao, D.Yang,Z,Zeng,X.,et al. Wind tunnel test of gust load alleviation for a large-scale full aircraft model[J].Chinese Journal of Aeronautics, 2023, 36(4):201-216 [16]Schmitt N P, Rehm W, Pistner T, et al.The AWIATOR airborne LIDAR turbulence sensor[J].Aerospace Science and Technology, 2007, 11(7-8):546-552 [17]Fezans N, Schwithal J, Fischenberg D.In-flight remote sensing and identification of gusts, turbulence, and wake vortices using a Doppler LIDAR[J]. CEAS Aeronautical Journal, 2017, 8: 313-333.[J].CEAS Aeronautical Journal, 2017, 8(8):313-333 [18]Schwithal J.Lidar-based Wake Identification and Impact Alleviation[D]. DLR Institut für Flugsystemtechnik, 2017. [19]Rabadan G J, Schmitt N P, Pistner T, et al.Airborne lidar for automatic feedforward control of turbulent in-flight phenomena[J].Journal of Aircraft, 2010, 47(2):392-403 [20]李志刚, 孙泽中, 赵增亮, 等.机载光纤多普勒测风激光雷达风场反演及实验验证[J].应用光学, 2016, 37(05):765-771 [21]Li Z, Sun Z, Zhao Z, et al.Wind retrieval of airborne fiber Doppler wind lidar and experimental verification[J].Journal of Applied Optics, 2016, 37(05):765-771 [22]王琪超, 吴松华, 张洪玮, 等.无人机载多普勒激光雷达海上风场观测及数据处理[J].红外与毫米波学报, 2021, 40(04):516-529 [23]Wang Q, Wu S, Zhang H, et al.Observation and data processing of offshore wind field based on UAV-borne Doppler lidar[J].Journal of Infrared and Millimeter Waves, 2021, 40(04):516-529 [24]武俊, 焦崇淼, 毕德仓, 等.基于的测风激光雷达双轴扫描转镜指向自适应控制系统[J].光学学报, 2025, 45(12):462-471 [25]Wu J, Jiao C, Bi D, et al.Self-adaptive control system for wind lidar dual-axis scanning mirror based on FPGA[J].Acta Optica Sinica, 2025, 45(12):462-470 [26]Khalil, A.Nicolas FGust load alleviation for flexible aircraft using discrete-time preview control[J].The Aeronautical Journal, 2021, 125(1284):341-364 [27]Hu Y, Dai Y, Wu Y, et al.Time-domain feedforward control for gust response alleviation based on seamless morphing wing[J].AIAA Journal, 2022, 60(10):5707-5722 [28]De Nayer, Guillaume, Breuer, M., A source-term formulation for injecting wind gusts in CFD simulations[J]. Journal of Wind Engineering and Industrial Aerodynamics, 2020, 207: 104405.[J].Journal of Wind Engineering and Industrial Aerodynamics, 2020, 207(207):104405-104405

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