An improved linear parameter-varying modeling, model order reduction, and control design process for flexible aircraft

被引:3
作者
Liu, Yishu [1 ]
Niu, Xingjie [1 ]
Li, Qifu [1 ]
Lu, Bei [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Aeronaut & Astronaut, Shanghai 200240, Peoples R China
关键词
Flexible aircraft; Aeroservoelasticity; Linear parameter-varying systems; Model order reduction; Active flutter suppression; Flight control; LPV SYSTEMS; SUPPRESSION; ALGORITHM; AIRPLANE;
D O I
10.1016/j.ast.2023.108765
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper presents an improved process for the modeling, model order reduction (MOR), and control design of a flexible flying wing unmanned aerial vehicle based on the linear parameter-varying (LPV) technology. By applying the Lagrangian formulation and doublet lattice method, the aeroservoelastic (ASE) model of the flexible aircraft is first derived and then rewritten as an airspeed-dependent LPV system, which consists of rigid-body states, structural modes, aerodynamic states, etc. This leads to a high-order LPV model, and the stability of the system varies from stable to unstable when the speed of the aircraft exceeds the critical flutter speed. To facilitate the control design, an oblique projection-based MOR method is then adopted to reduce the order of the plant. Different from previous studies, the MOR method is improved to systematically generate a reduced-order LPV model with consistent states for both the stable and unstable dynamics parts. Finally, an output-feedback LPV controller is designed to simultaneously achieve the body freedom flutter suppression and longitudinal attitude control. Numerical simulation results show the effectiveness of the improved LPV-based ASE modeling, order reduction, and control design process for the flexible aircraft.
引用
收藏
页数:14
相关论文
共 48 条
  • [1] LPV modeling of a flexible wing aircraft using modal alignment and adaptive gridding methods
    Al-Jiboory, Ali Khudhair
    Zhu, Guoming
    Swei, Sean Shan-Min
    Su, Weihua
    Nguyen, Nhan T.
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 66 : 92 - 102
  • [2] AN ONLINE METHOD FOR INTERPOLATING LINEAR PARAMETRIC REDUCED-ORDER MODELS
    Amsallem, David
    Farhat, Charbel
    [J]. SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2011, 33 (05) : 2169 - 2198
  • [3] [Anonymous], 2013, AIAA ATM FLIGHT MECH
  • [4] Design and Flight Test of a Stability Augmentation System for a Flexible Aircraft
    Barbosa, Guilherme C.
    Bertolin, Rafael M.
    Paulino, Juliano A.
    Guimaraes Neto, Antonio B.
    Silvestre, Flavio J.
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2022, 45 (09) : 1709 - 1723
  • [5] Chin A.W, 2020, AIAA SCIT 2020 FOR O
  • [6] Incorporation of Feedback Control into a High-Fidelity Aeroservoelastic Fighter Aircraft Model
    Danowsky, Brian P.
    Thompson, Peter M.
    Farhat, Charbel
    Lieu, Thuan
    Harris, Chuck
    Lechniak, Jason
    [J]. JOURNAL OF AIRCRAFT, 2010, 47 (04): : 1274 - 1282
  • [7] Reduced-Order Identification of Aeroelastic Systems with Constrained and Imposed Poles
    Fournier, Hugo
    Massioni, Paolo
    Pham, Minh Tu
    Bako, Laurent
    Vernay, Robin
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2023, 46 (06) : 1038 - 1051
  • [8] Grauer J. A., 2018, NASATM2018220102
  • [9] He T., Gust alleviation of highly flexible aircraft with model predictive control, DOI [10.2514/6.2023-0586, DOI 10.2514/6.2023-0586]
  • [10] Smooth-switching LPV control for vibration suppression of a flexible airplane wing
    He, Tianyi
    Zhu, Guoming G.
    Swei, Sean S. -M.
    Su, Weihua
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 84 : 895 - 903