New Compensation Method of Magnetometer Time-varying Bias for UAV

被引:0
|
作者
No, Heekwon [1 ,2 ]
Cho, Am [3 ]
Kee, Changdon [4 ]
机构
[1] Seoul Natl Univ, Sch Mech & Aerosp Engn, Seoul, South Korea
[2] SNU IAMD, Seoul, South Korea
[3] Korea Aerosp Res Inst, Daejeon, South Korea
[4] Seoul Natl Univ, Seoul, South Korea
关键词
CALIBRATION; HELICOPTER;
D O I
暂无
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
A new method to compensate the time-varying bias of the magnetometer within the electric-powered UAV is proposed in this study. The Earth's magnetic field is a useful physical quantity which provides attitude information to the navigation system. Since the electric current generates a magnetic field, distortion of the measured magnetic field occurs when there is a current flowing in the vicinity of the magnetometer. In the case of an electric-powered UAV, a large current is used for driving an electric motor used as a propulsive device. Therefore, the influence of the current on the magnetometer is serious and must be eliminated before use. The magnetic field generated by the current is proportional to the amount of the current flow. Therefore, using the measurement of the current sensor, it is possible to compensate the influence. However, the motor of electricpowered UAV is driven by a signal of pulse width modulation (PWM) type, so there is a lot of noise in the current measurement. Accordingly, if the measurement of magnetometer is compensated using the noisy measurement of the current sensor, then the bias error can be compensated, but the noise is greatly increased. In this study, the current measurement and the throttle input are combined to estimate the current of low-noise which compensates the effect of the current without the increase of noise. Using the relationship between the current and the throttle input, the current of low-noise is estimated. This current estimate is used to compensate the time-varying bias error of the magnetometer, and reduces the noise exists in the compensated measurement of the magnetometer. Test results show that not only the bias error but also the noise is compensated effectively, in contrast to the previous method.
引用
收藏
页码:529 / 541
页数:13
相关论文
共 50 条
  • [1] Attitude-Independent Magnetometer Calibration with Time-Varying Bias
    Springmann, John C.
    Cuder, James W.
    [J]. JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2012, 35 (04) : 1080 - 1088
  • [2] A Novel Time-Varying Friction Compensation Method for Servomechanism
    Feng, Bin
    Zhang, Dongsheng
    Yang, Jun
    Guo, Shijie
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [3] A novel unified method for time-varying dead-time compensation
    Morato, Marcelo M.
    Normey-Rico, Julio E.
    [J]. ISA TRANSACTIONS, 2021, 108 : 78 - 95
  • [4] Iterative Learning Identification with Bias Compensation for Stochastic Linear Time-Varying Systems
    Song, Fazhi
    Liu, Yang
    Yang, Zhile
    Yang, Xiaofeng
    He, Ping
    [J]. INTELLIGENT COMPUTING, NETWORKED CONTROL, AND THEIR ENGINEERING APPLICATIONS, PT II, 2017, 762 : 231 - 239
  • [5] Time-varying noise compensation by sequential Monte Carlo method
    Yao, KS
    Nakamura, S
    [J]. ASRU 2001: IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, CONFERENCE PROCEEDINGS, 2001, : 163 - 166
  • [6] Processing time-varying signals by a new method
    Gai, Q
    Ma, XJ
    Zhang, HY
    Zou, YK
    [J]. 2001 CIE INTERNATIONAL CONFERENCE ON RADAR PROCEEDINGS, 2001, : 1011 - 1014
  • [7] SIGNAL COMPENSATION METHOD FOR TIME-VARYING ADAPTIVE-CONTROL - THE ANALYSIS
    LIU, CH
    WOMACK, BF
    [J]. PROCEEDINGS OF THE 1989 AMERICAN CONTROL CONFERENCE, VOLS 1-3, 1989, : 165 - 170
  • [8] Bias of time-varying exposure effects due to time-varying covariate measurement strategies
    de Vries, Bas B. L. Penning
    Groenwold, Rolf H. H.
    [J]. PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2022, 31 (01) : 22 - 27
  • [9] AN ELECTRON SPIN RESONANCE MAGNETOMETER-FOR TIME-VARYING FIELDS
    STAHLKE, JL
    [J]. NUCLEAR INSTRUMENTS & METHODS, 1962, 17 (02): : 157 - 160
  • [10] A New Method of Noncausal Identification of Time-varying Systems
    Niedzwiecki, Maciej
    Ciolek, Marcin
    Gancza, Artur
    Kaczmarek, Piotr
    [J]. 2020 SIGNAL PROCESSING - ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA), 2020, : 48 - 52