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Acta Armamentarii ›› 2022, Vol. 43 ›› Issue (12): 2989-2999.doi: 10.12382/bgxb.2021.0643

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Tracked Vehicle Vibration Test System Based on Optimal Sensor Arrangement

YANG Shuyi1, LIAO Lili2, QIN Lingyun1, DAI Juchuan1, CHEN Zhewu1, HE Xingyun3, TONG Ningke4   

  1. (1.School of Mechanical Engineering, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China; 2.Changsha Jinwei Information Technology Co., Ltd., Changsha 410006, Hunan, China; 3.Jianglu Electromechanical Group Co., Ltd., Xiangtan 411201, Hunan, China; 4.Suzhou Weibo Testing Instrument Co., Ltd., Suzhou 215000, Jiangsu, China)
  • Online:2022-05-19

Abstract: To solve the sensor arrangement optimization problem for the vibration test of large structures, a tracked vehicle vibration test system integrating sensor arrangement optimization is developed. Firstly, a particle swarm optimization with nonlinear dynamic adjustment of inertial weight collaborative learning factor (PSO-IWLF) is proposed based on the sensor layout optimization theory. Then, different order modal shape values of nodes are obtained through the finite element mode analysis of the tracked vehicle, and the optimization calculation of vibration test acceleration sensor arrangement is carried out according to the modal confidence criterion (MAC). Finally, the tracked vehicle vibration test system (LabMat) is built by MATLAB and LabView. The tracked vehicle vibration test is conducted under typical road spectrum excitation of four types of roads, namely, gobi road, gravel road, paved road and undulating road with vehicle speed of 15 km/h. The calculated results show that the maximum, minimum, mean and root mean square values of vibration acceleration measured by the test are basically consistent with the results from the commercial LabGenius vibration test software, and the error is less than 1%, which verifies the validity of the calculation results of the sensor arrangement optimization and the test system. This study can provide theoretical basis and practical guidance for sensor optimization by the tracked vehicle vibration test and test system design.

Key words: trackedvehicle, vibrationtest, optimalsensorarrangement, roadspectrum

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