Abstract Track geometry dynamic detection is an important means to ensure the safe operation of trains.The reliability of track geometry dynamic detection is affected by the veracity of motion attitude measurement results of vehicle bogie.In order to improve the accuracy of motion attitude detection results of vehicle bogie,a method of frame motion attitude measurement based on six degree of freadom shaking table was proposed.Different excitation signals are applied to the bogie.Four triaxial accelerometers are used to collect acceleration signals.The acceleration signal is converted to simulate the displacement and rotation of bogie's geometric center through the frequency domain integration method of fast Fourier transform and attitude calculation algorithm based on displacement data.The verification test of bogie attitude measurement method was carried out with the input signal of six degree of freadom shaking table as the standard.The results show that the lateral displacement,vertical displacement,roll and swing root mean square difference of bogie attitude measurement algorithm are less than 0.04mm,0.03mm,0.05° and 0.03° respectively.
HAN Zhi,CHEN Chun-Lei,FU Qiang, et al. Motion Attitude Measurement Method of Bogie Based on Six Degrees of Freedom Vibration Table[J]. Acta Metrologica Sinica, 2023, 44(4): 562-567.
Chi M R, Zhang W H, Zeng J, et al. Analysis on suspension parameters of high-speed Bus frame［J］. Journal of Dalian Jiaotong University, 2007, 28(3):13-19.
［4］
Stiros S C. Errors in velocities and displacements deduced from accelerographs: An approach based on the theory of error propagation［J］. Soil Dynamics and Earthquake Engineering, 2008, 28(5):415-420.
Wang T Q, Zhou M A, Fang X F, et al. Reliability research of acceleration integral displacement method based on shaking table test［J］. Rock and Soil Mechanics, 2019, 40(S1):565-573.
［8］
Yun H H, Lee S G, Lee H S. Design of the FEM-FIR filter for displacement reconstruction using accelerations and displacements measured at different sampling rates［J］. Mechanical Systems & Signal Processing, 2013, 38(2):460-481.
［7］
Lee H S, Yun H H, Park H W. Design of an FIR filter for the displacement reconstruction using measured acceleration in low-frequency dominant structures［J］. Int J Numer Meth Engng, 2021, 82(4): 403-434.
［9］
Park K Y, Lee H S. Design of de-noising FEM-FIR filters for the evaluation of temporal and spatial derivatives of measured displacement in elastic solids［J］. Mechanical Systems & Signal Processing, 2019, 120:524-539.
Zhang Z Y, Chen J Z. Research on Running Attitude Detection System for Train Bogie［J］. China Measurement & Testing, 2012, (05): 59-61.
Xu X H, Ni C F, Yan X Q. Time domain integration method of vibration test based on Combined Simpson integral［J］. Acta Metrologica Sinica, 2020, 41(6):704-709.
Gao S J, Liu F S, Jiang C Y. Improvement study of modal analysis for offshore structures based on reconstructed displacements［J］. Applied Ocean Research, 2021, 110:102596.
Zhang S, Miu D J, Li J S, et al. Research on the influence of tracking method on measurement accuracy in multi-lateral pose measurement system［J］. Acta Metrologica Sinica, 2020, 41(4):406-412.
Zhang J F, Yang F L, Shi Z W, et al. The invention relates to a method for installing and testing and analyzing the measurement accuracy of an attitude sensor［J］. China Water Transport, 2013, 4 (13):106-109.
Fang X L, Hao W, Chen H. Acceleration signal processing based on frequency domain filtering［J］. Instrument Technique and Sensor, 2012(4):94-96.
Wang X G, Su J, Cao X N, et al. Forward pose solution of bogie 6-DOF platform based on orthogonality of rotation matrix ［J］. Journal of Jilin Agricultural University 2013, 43 (05): 1241-1246.
［2］
Xiao X, Xu X Y, Shen W A. Simultaneous identification of the frequencies and track irregularities of high-speed railway bridges from vehicle vibration data［J］. Mechanical Systems and Signal Processing, 2020, 152:107412.
Li Z, Fang H C, Ke X Z, et al. Application of moving average method in MEMS gyro signal trend item extraction［J］. Journal of Electronic Measurement and Instrument, 2019, 33(7):43-49.
2023, Vol. 44 
