Measurement data fusion with cascaded Kalman and complementary filter in the flight parameter indicator for hang-glider and paraglider

被引:10
|
作者
Brzozowski, Bartosz [1 ]
Rochala, Zdzislaw [1 ]
Wojtowicz, Konrad [1 ]
Wieczorek, Piotr [1 ]
机构
[1] Mil Univ Technol, Fac Mechatron & Aerosp, Warsaw, Poland
关键词
Data fusion; Flight parameters; Parameters indicator; Parameters display; Vertical speed; Altitude measurement; Kalman filter; Complementary filter; OF-THE-ART; FUTURE-DEVELOPMENTS; IMU; NAVIGATION; SYSTEM;
D O I
10.1016/j.measurement.2018.02.012
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The research on an assistive instrument for hang-gliders and paragliders resulted in the three prototypes of the integrated device for sensing, processing and displaying data to the pilot. The data processing contains innovative data fusion and filtration algorithms with cascaded filter build with Kalman and complementary fillers. The developed prototypes have been successfully tested in the laboratories and during flight tests.
引用
收藏
页码:94 / 101
页数:8
相关论文
共 16 条
  • [1] Measurement data fusion in the display system for hang-glider and paraglider
    Brzozowski, Bartosz
    Rochala, Zdzislaw
    Wojtowicz, Konrad
    Wieczorek, Piotr
    [J]. 2017 IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE), 2017, : 428 - 433
  • [2] MEMS Based IMU for Tilting Measurement: Comparison of Complementary and Kalman Filter Based Data Fusion
    Gui, Pengfei
    Tang, Liqiong
    Mukhopadhyay, Subhas
    [J]. PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1998 - 2003
  • [3] Altitude data fusion utilising differential measurement and complementary filter
    Wei, Sheng
    Dan, Gu
    Chen, Hu
    [J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2016, 10 (08) : 874 - 879
  • [4] Comparison of Complementary and Kalman Filter Based Data Fusion for Attitude Heading Reference System
    Islam, Tariqul
    Islam, Md. Saiful
    Shajid-Ul-Mahmud, Md.
    Hossam-E-Haider, Md
    [J]. PROCEEDINGS OF THE 1ST INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND APPLIED SCIENCE (ICMEAS 2017), 2017, 1919
  • [5] Aerodynamic parameter estimation from flight data applying extended and unscented Kalman filter
    Chowdhary, Girish
    Jategaonkar, Ravindra
    [J]. AEROSPACE SCIENCE AND TECHNOLOGY, 2010, 14 (02) : 106 - 117
  • [6] Comparison of two measurement fusion methods for Kalman-filter-based multisensor data fusion
    Gan, Q
    Harris, CJ
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2001, 37 (01) : 273 - 280
  • [7] Improvement of Kalman Filter for GNSS/IMU Data Fusion with Measurement Bias Compensation
    Nilchan, Natthanarong
    Supnithi, Pornchai
    Phakphisut, Watid
    [J]. 35TH INTERNATIONAL TECHNICAL CONFERENCE ON CIRCUITS/SYSTEMS, COMPUTERS AND COMMUNICATIONS (ITC-CSCC 2020), 2020, : 405 - 410
  • [8] A new multi-sensor hierarchical data fusion algorithm based on unscented Kalman filter for the attitude observation of the wave glider
    Liu, Fen
    Liu, Yubing
    Sun, Xiujun
    Sang, Hongqiang
    [J]. APPLIED OCEAN RESEARCH, 2021, 109
  • [9] A Robust and Adaptive Complementary Kalman Filter Based on Mahalanobis Distance for Ultra Wideband/Inertial Measurement Unit Fusion Positioning
    Li, Xin
    Wang, Yan
    Khoshelham, Kourosh
    [J]. SENSORS, 2018, 18 (10)
  • [10] Effect of walking variations on complementary filter based inertial data fusion for ankle angle measurement
    Meng, Lin
    Li, Baihan
    Childs, Craig
    Buis, Arjan
    He, Feng
    Ming, Dong
    [J]. 2019 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND VIRTUAL ENVIRONMENTS FOR MEASUREMENT SYSTEMS AND APPLICATIONS (CIVEMSA 2019), 2019, : 124 - 128