首页 | 本学科首页   官方微博 | 高级检索  
     

加权平均法在GFSINS角速度解算中的应用
引用本文:郝燕玲,刘志平. 加权平均法在GFSINS角速度解算中的应用[J]. 系统工程与电子技术, 2009, 31(12): 2934-2937
作者姓名:郝燕玲  刘志平
作者单位:哈尔滨工程大学自动化学院, 黑龙江 哈尔滨 150001
摘    要:针对积分法带来快速误差积累以及开方法存在大量开方运算和符号误判等问题,提出了将加权平均法应用到无陀螺捷联惯导系统(gyro free strapdown inertial navigation system, GFSINS)角速度解算中的新方法。基于一种改进的九加速度计配置方式,推导了两种传统角速度解算方法;采用基于多元统计理论的加权平均法,将积分法和开方法得到的两组角速度通过选择最优权数进行有效数据融合,得到一组误差更小的角速度。仿真结果表明,此方法不仅能消除迭代误差,而且其角速度解算精度比开方法提高了大约1.5倍。

关 键 词:无陀螺捷联惯导系统  角速度解算  加权平均法  加速度计  积分法  开方法

Application of weighted average method on angular velocity calculation of GFSINS
HAO Yan-ling,LIU Zhi-ping. Application of weighted average method on angular velocity calculation of GFSINS[J]. System Engineering and Electronics, 2009, 31(12): 2934-2937
Authors:HAO Yan-ling  LIU Zhi-ping
Affiliation:Coll. of Automation, Harbin Engineering Univ., Harbin 150001, China
Abstract:Aim at disadvantages that the integral algorithm can produce accumulation error and the extraction algorithm may bring sign estimation error and a mass of extraction calculation,a new method of angular velocity calculation based on the weighted average method is put forward in the GFSINS (gyro free strapdown inertial navigation system).Based on a nine-accelerometer configuration scheme,two kinds of traditional calculation methods for angular velocity are deduced.To use weighted average method based on multi-statistic theory,two groups of angular velocity got by integral algorithm and extraction algorithm are effectively fused by selecting optimum weight,then a group of less error angular velocity is got.Simulation results show that iterative error is avoided by the new method,moreover,compared with extraction algorithm,the calculation precision of angular velocity is almost improved by 1.5 times.
Keywords:gyro free strapdown inertial navigation system  angular velocity calculation  weighted average method  accelerometer  integral algorithm  extraction algorithm
本文献已被 万方数据 等数据库收录!
点击此处可从《系统工程与电子技术》浏览原始摘要信息
点击此处可从《系统工程与电子技术》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号