基于前周期优化子样数的姿态算法
作者:
作者单位:

作者简介:

通讯作者:

基金项目:

国家自然科学基金资助项目(41174162)

伦理声明:



Attitude Algorithm Based on the Previous Period Optimized Number of Samples
Author:
Ethical statement:

Affiliation:

Funding:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
    摘要:

    针对补偿精度存在极限的问题,对传统圆锥补偿算法的子样数进行优化,利用当前周期和前周期采样值构造圆锥补偿项。当前周期采用单子样、二子样和三子样有效缩短了补偿周期,从而提高了精度极限值,而前周期子样数选取最佳值使补偿精度趋近极限值。仿真结果表明,与传统多子样旋转矢量算法相比,该算法在圆锥补偿精度方面有一定优势。

    Abstract:

    Aiming at the problem of compensation accuracy limits, the conventional coning compensation algorithm was optimized in this work. The sampling values of the current and previous periods were used to build the coning compensation terms. The single sample, two samples and three samples were used in the current period, thus the compensation period was shortened and the accuracy limit value was improved, while the previous period sample numbers were optimized to make the compensation accuracy approach its limitation. The simulation results show that the proposed algorithm has some advantages on the coning compensation accuracy over the conventional multisample rotation vector algorithm.

    参考文献
    相似文献
    引证文献
引用本文

李荣祚,周召发,徐梓皓.基于前周期优化子样数的姿态算法[J].压电与声光,2016,38(2):333-336. LI Rongzuo, ZHOU Zhaofa, XU Zihao. Attitude Algorithm Based on the Previous Period Optimized Number of Samples[J]. PIEZOELECTRICS AND ACOUSTOOPTICS

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2016-04-01
  • 出版日期: