A Particle Swarm Optimization Static Calibration Method of Micro-electro-mechanical System Accelerometer Based on Ellipsoidal Restriction
JIN Mei1, ZHANG Kang-ning1, JIN Ju2 , YU Guo-hui3, LI Wen-chao1
1.Measurement Technology and Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao,Hebei 066004, China;
2.School of Civil Engineering, Hebei University of Technology, Tianjin 300401, China;
3.Audio-Visual Machinery Research Institute, Qinhuangdao, Hebei 066000, China
Abstract The particle swarm optimization static calibration method of micro-electro-mechanical system accelerometer based on ellipsoidal restriction is studied. According to the output mathematical model of the micro-electro-mechanical system accelerometer, the standard particle swarm optimization algorithm is taken to estimate scale factors, bias, and installation errors in the output mathematical model. The experimental results show that the method can eliminate the random errors in the sampling process effectively. With the introduction of particle swarm optimization algorithm, the outputs of the micro-electro-mechanical system accelerometer can reflect their true values.
JIN Mei,ZHANG Kang-ning,JIN Ju, et al. A Particle Swarm Optimization Static Calibration Method of Micro-electro-mechanical System Accelerometer Based on Ellipsoidal Restriction[J]. Acta Metrologica Sinica, 2014, 35(3): 230-235.
2014, Vol. 35 
