Sensitivity calibration of a three-axis accelerometer under different temperature conditions using the hybrid GA-PSO-BPNN algorithm

被引:2
作者
Du, Cuicui [1 ]
Kong, Deren [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing, Peoples R China
基金
中国国家自然科学基金;
关键词
GA-PSO-BPNN algorithm; Sensitivity calibration; Temperature conditions; Three-axis accelerometer; OPTIMIZATION; NETWORKS;
D O I
10.1108/SR-07-2021-0227
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Purpose Three-axis accelerometers play a vital role in monitoring the vibrations in aircraft machinery, especially in variable flight temperature environments. The sensitivity of a three-axis accelerometer under different temperature conditions needs to be calibrated before the flight test. Hence, the authors investigated the efficiency and sensitivity calibration of three-axis accelerometers under different conditions. This paper aims to propose the novel calibration algorithm for the three-axis accelerometers or the similar accelerometers. Design/methodology/approach The authors propose a hybrid genetic algorithm-particle swarm optimisation-back-propagation neural network (GA-PSO-BPNN) algorithm. This method has high global search ability, fast convergence speed and strong non-linear fitting capability; it follows the rules of natural selection and survival of the fittest. The authors describe the experimental setup for the calibration of the three-axis accelerometer using a three-comprehensive electrodynamic vibration test box, which provides different temperatures. Furthermore, to evaluate the performance of the hybrid GA-PSO-BPNN algorithm for sensitivity calibration, the authors performed a detailed comparative experimental analysis of the BPNN, GA-BPNN, PSO-BPNN and GA-PSO-BPNN algorithms under different temperatures (-55, 0 , 25 and 70 degrees C). Findings It has been showed that the prediction error of three-axis accelerometer under the hybrid GA-PSO-BPNN algorithm is the least (approximately +/- 0.1), which proved that the proposed GA-PSO-BPNN algorithm performed well on the sensitivity calibration of the three-axis accelerometer under different temperatures conditions. Originality/value The designed GA-PSO-BPNN algorithm with high global search ability, fast convergence speed and strong non-linear fitting capability has been proposed to decrease the sensitivity calibration error of three-axis accelerometer, and the hybrid algorithm could reach the global optimal solution rapidly and accurately.
引用
收藏
页码:8 / 18
页数:11
相关论文
共 30 条
  • [1] Feedback on the Surveillance 8 challenge: Vibration-based diagnosis of a Safran aircraft engine
    Antoni, Jerome
    Griffaton, Julien
    Andre, Hugo
    Avendano-Valencia, Luis David
    Bonnardot, Frederic
    Cardona-Morales, Oscar
    Castellanos-Dominguez, German
    Daga, Alessandro Paolo
    Leclere, Quentin
    Molina Vicuna, Cristian
    Quezada Acuna, David
    Ompusunggu, Agusmian Partogi
    Sierra-Alonso, Edgar F.
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 97 : 112 - 144
  • [2] Temperature-Dependent Calibration of Triaxial Sensors: Algorithm, Prototype, and Some Results
    Bernal-Polo, Pablo
    Martinez-Barbera, Humberto
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (02) : 876 - 884
  • [3] Measuring and calibrating of the parasitic mismatch in MEMS accelerometer based on harmonic distortion self-test
    Chen, Dongliang
    Yin, Liang
    Fu, Qiang
    Zhang, Yufeng
    Liu, Xiaowei
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2020, 313
  • [4] Evolutionary Robot Calibration and Nonlinear Compensation Methodology Based on GA-DNN and an Extra Compliance Error Model
    Chen, Xiaoyan
    Zhang, Qiuju
    Sun, Yilin
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020 (2020)
  • [5] Comparative assessment of modified deconvolution and neuro-fuzzy technique for force prediction using an accelerometer balance system
    Deka, Sushmita
    Pallekonda, Ramesh Babu
    Rahang, Maneswar
    [J]. MEASUREMENT, 2021, 171 (171)
  • [6] A Novel Genetic Algorithm-Based Optimization Framework for the Improvement of Near-Infrared Quantitative Calibration Models
    Feng, Quanxi
    Chen, Huazhou
    Xie, Hai
    Cai, Ken
    Lin, Bin
    Xu, Lili
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2020, 2020
  • [7] High-precision width measurement method of laser profile sensor
    Feng, Yu
    Tao, Wei
    Feng, Yiyang
    Yin, Xiaoqia
    Lv, Na
    Zhao, Hui
    [J]. SENSOR REVIEW, 2020, 40 (06) : 699 - 707
  • [8] A simultaneous calibration and data assimilation (C/DA) to improve NRLMSISE00 using thermospheric neutral density (TND) from space-borne accelerometer measurements
    Forootan, E.
    Farzaneh, S.
    Kosary, M.
    Schmidt, M.
    Schumacher, M.
    [J]. GEOPHYSICAL JOURNAL INTERNATIONAL, 2021, 224 (02) : 1097 - 1116
  • [9] Hybrid Optimal Kinematic Parameter Identification for an Industrial Robot Based on BPNN-PSO
    Gao, Guanbin
    Liu, Fei
    San, Hongjun
    Wu, Xing
    Wang, Wen
    [J]. COMPLEXITY, 2018,
  • [10] Novel health monitoring technology for in-service diagnostics of intake separation in aircraft engines
    Gelman, Len
    Petrunin, Ivan
    Parrish, Colin
    Walters, Mark
    [J]. STRUCTURAL CONTROL & HEALTH MONITORING, 2020, 27 (05)