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Extended Karman Filtering Implemention in Uavs Using Matlab

MATLAB 100.00%

extended_kalman_filter's Introduction

基于EKF的四旋翼无人机姿态估计

作者：汪瑞

说明：题为作者本科毕业设计的选题，使用EKF(Extended Kalman Filter, 扩展卡尔曼滤波)算法来对四旋翼无人机的姿态进行滤波和估计，姿态包括：俯仰角、滚转角、偏航角的角度值和角速度值。前提：角度值无法直接通过传感器直接测得，角速度值可以测得。

代码说明

  • test1.m：一维线性卡尔曼滤波的例子
  • jaccsd.m：用于求解EKF算法中的雅克比矩阵
  • EKF.m：EKF算法仿真程序

仿真结果

  • 说明：
  • 1.仿真软件采用MATLAB2010b
  • 2.控制量和姿态角速度值采用随机生成的数据(使用实际数据更好)
  • 3.仿真过程偶尔会出现错误结果，原因是EKF计算过程中有几率出现奇异矩阵，导致算法无法进行下去

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