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基于MTi—IMU微惯性航姿系统的姿态算法
引用本文:粱云,陈洁.基于MTi—IMU微惯性航姿系统的姿态算法[J].上海电机学院学报,2013(4):198-202.
作者姓名:粱云  陈洁
作者单位:[1]上海电机学院电子信息学院,上海200240 [2]天津职业大学电子信息工程学院,天津300410
摘    要:利用基于微机电系统陀螺、加速度计和磁强计的MTi—IMU微惯性航姿系统,设计了一种确定航向和姿态的算法。该算法利用加速度计的输出判断载体的运动状态,当载体处于非加速运动状态时,利用磁强计和加速度计的输出计算姿态角,再利用卡尔曼滤波器校正姿态误差。采集M'I、iIMU微惯性航姿系统输出的数据进行仿真。仿真结果证明了该姿态算法的有效性。

关 键 词:微惯性航姿系统  姿态四元数  卡尔曼滤波

Algorithm for Attitude of Micro-Inertial AHRS Based on MTi-IMU
LIANG gun,CHEN Jie.Algorithm for Attitude of Micro-Inertial AHRS Based on MTi-IMU[J].JOurnal of Shanghai Dianji University,2013(4):198-202.
Authors:LIANG gun  CHEN Jie
Affiliation:1. School of Electronics Information, Shanghai Dianji University, 2. School of Electronic and Information Engineering, Tianjin Tianjin 300410, China) Shanghai 200240, China; Vocational Institute,
Abstract:This paper presents a heading and attitude algorithm based on MTi IMU, which is composed of micro-electronic mechanical system(MEMS) gyroscopes, MEMS accelerometers and magnetometers. It uses the output data of accelerometers to judge the motion state of carrier, and calculates the attitude angles using the output o{ accelerometers and magnetometers, and then cor- rects the attitude errors with Kalman filtering. The algorithm is simulated using the output of MTi-IMU, showing that the algorithm is effective.
Keywords:micro inertial attitude  heading reference system  attitude quaternion  Kalman filtering
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