基于PSO算法的加速度计快速标定方法  

A Rapid Calibration Method for Accelerometer Based on PSO Algorithm

作　　者：戴邵武[1] 王克红[1] 戴洪德[1] 

机构地区：[1]海军航空工程学院控制工程系,山东烟台264001

出　　处：《电光与控制》2014年第12期57-60,共4页Electronics Optics & Control

基　　金：航空科学基金(20135184007);中国博士后科学基金项目(2013m532173)

摘　　要：为减少惯性测量组合标定对转台的依赖,降低标定对转台控制精度的要求,在分析传统加速度计模观测迭代标定方法的基础上,提出一种基于粒子群优化算法(PSO)的加速度计快速标定方法。首先,基于模观测思想设计构造目标优化函数,并将其作为PSO算法中的适应度函数,实现了标定方法与PSO算法的连接;其次,设计了基于最大化观测信息相对于待估计参数的敏感度函数的加速度计标定编排方案;最后,对所提方法与牛顿迭代标定方法进行了对比仿真。仿真实验结果表明,基于PSO算法的加速度计快速标定方法具有可行性、有效性,与传统牛顿迭代标定方法相比更具有优越性。In order to reduce the dependence of Inertial Measurement Unit （IMU） calibration on turntable,and decrease its requirement to turntable control precision,we proposed a rapid accelerometer calibration method based on Particle Swarm Optimization （PSO） algorithm by analyzing the traditional model-observation-principle based iterative calibration method.At first,an objective optimization function was established based on model observation principle,which was taken as the fitness function of PSO algorithm for realizing the connection between the calibration method and PSO algorithm.Then,the accelerator calibration scheduling program was designed based on the estimated parameter’s sensitivity function corresponding to the maximum observation information.Finally,simulation was made to the proposed method and Newton iterative calibration method.The results show that,the proposed method is superior to the traditional Newton iterative calibration method in feasibility and effectiveness.

关 键 词：惯性测量装置 加速度计标定 粒子群优化 模观测 敏感度函数 

分 类 号：V249[航空宇航科学与技术—飞行器设计] U666.1[交通运输工程—船舶及航道工程]