系统工程与电子技术 ›› 2020, Vol. 42 ›› Issue (5): 1139-1145.doi: 10.3969/j.issn.1001-506X.2020.05.22

• 制导、导航与控制 • 上一篇    下一篇

车载GNSS失锁下基于BPNN的微陀螺误差估计及定位方法研究

王秋滢(), 刘凯悦(), 尹娟()   

  1. 哈尔滨工程大学信息与通信工程学院, 黑龙江 哈尔滨 150001
  • 收稿日期:2019-08-30 出版日期:2020-04-30 发布日期:2020-04-30
  • 作者简介:王秋滢(1986-),女,副教授,博士,主要研究方向为多源信息融合、惯性导航、组合导航。E-mail:wangqiuying@hrbeu.edu.cn|刘凯悦(1994-),女,博士研究生,主要研究方向为惯性导航、车载组合导航。E-mail:liukaiyue111@hrbeu.edu.cn|尹娟(1994-),女,硕士研究生,主要研究方向为惯性器件标定。E-mail:y18845109628@sina.com
  • 基金资助:
    国家自然科学基金(51879046);黑龙江省自然科学基金优秀青年项目(YQ2019F001)

Research on error estimation of micro-gyroscope and location method based on BPNN for vehicle during GNSS outages

Qiuying WANG(), Kaiyue LIU(), Juan YIN()   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2019-08-30 Online:2020-04-30 Published:2020-04-30
  • Supported by:
    国家自然科学基金(51879046);黑龙江省自然科学基金优秀青年项目(YQ2019F001)

摘要:

针对在全球导航卫星系统(global navigation satellite system, GNSS)失锁阶段将微陀螺惯性系统作为备用定位系统时,由于微陀螺误差引起的定位误差发散问题,提出了基于后向传播神经网络(back propagation neural network, BPNN)的微陀螺误差估计及定位算法。在GNSS有效阶段为车辆提供定位信息,同时对微陀螺误差进行估计,并利用后向传播神经网络BPNN建立微陀螺误差预测模型,为GNSS失锁阶段车辆定位做准备;在GNSS失锁阶段,利用已建立好的微陀螺误差预测模型估计微陀螺误差,对微陀螺输出信息进行补偿,以抑制由陀螺误差引起的定位误差。最后利用仿真与试验验证了此方法的正确性与有效性。

关键词: 全球导航卫星系统失锁, 微陀螺惯性系统, 微陀螺误差, 预测

Abstract:

In the global navigation satellite system (GNSS) outages phase, the micro-gyroscope inertial system is used as a standby positioning system. In order to solve the problem of positioning divergence error caused by micro-gyroscope error, the error estimation of the micro-gyroscope and location method based on back propagation neural network (BPNN) is proposed in this paper. In the GNSS effective phase, it provides positioning information for vehicles and estimates the micro-gyroscope error. A prediction model of micro-gyroscope error that is prepared for vehicle positioning in the GNSS outages phase is established by the BPNN. In the GNSS outages phase, the micro-gyroscope error prediction model is used to estimate the micro-gyroscope error and compensate the output information of the micro-gyroscope to suppress the positioning error caused by the gyroscope error. Finally, the correctness and effectiveness of this method is verified by simulation and experiment.

Key words: global navigation satellite system (GNSS) outages, micro-gyroscope inertial system, micro-gyroscope error, prediction

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