摘要
研究了微机电系统加速度计基于椭球约束的静态修正法。根据微机电系统加速度计输出数学模型，采用标准粒子群优化算法估计微机电系统加速度计的输出数学模型中的刻度因数、零偏及正交误差。实验结果表明，该方法有效剔除了采样过程中的随机误差，粒子群优化方法的引入，使得微机电系统加速度计输出能够准确地反映其真实值。
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 aceelerometer can reflect their true values.
出处
《计量学报》
CSCD
北大核心
2014年第3期230-235,共6页
Acta Metrologica Sinica
基金
基金项目：国家自然科学基金（61077071）
关键词
计量学
微机电系统
加速度计
惯性运动跟踪
椭球约束
静态修正
粒子群优化算法
Metrology
Micro-electro-mechanical system
Accelerometer
Inertial motion tracking
Ellipsoidal restriction
Static calibration
Particle swarm optimization algorithm
