• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>IEEE International Conference on Networking, Sensing and Control >A robust and fault-tolerant filter and its application in MEMS-INS/GPS
【24h】

A robust and fault-tolerant filter and its application in MEMS-INS/GPS

机译：鲁棒且容错的滤波器及其在MEMS-INS / GPS中的应用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Txfonts In micro-electro-mechanical system based inertial navigation system (MEMS-INS)/global positioning system (GPS) integrated navigation systems, there exist unknown disturbances. This paper deals with the problem of adaptive robust estimation (ARE) to obtain high estimation accuracy. A filter gain matrix is designed to obtain the adaptive robust algorithm, in which the H norm of the transfer function from noise inputs to estimation error outputs is limited within a certain range, and further more the estimation error is minimized by calculating the adaptive weight matrix. Therefore, the algorithm can guarantee small estimation errors in the presence of disturbances. The proposed method is evaluated in the integrated navigation system, and the simulation results show that it is effective in position and velocity estimation.
机译：Txfonts在基于微机电系统的惯性导航系统（MEMS-INS）/全球定位系统（GPS）集成导航系统中，存在未知的干扰。本文针对自适应鲁棒估计（ARE）问题，获得了较高的估计精度。设计滤波器增益矩阵以获得自适应鲁棒算法，其中从噪声输入到估计误差输出的传递函数的H范数限制在一定范围内，此外，通过计算自适应权重矩阵将估计误差最小化。因此，该算法可以在存在干扰的情况下保证较小的估计误差。在集成导航系统中对该方法进行了评估，仿真结果表明该方法在位置和速度估计中是有效的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号