摘要
零偏是衡量激光陀螺性能的一个重要指标,但其受温度影响很大,为了降低和补偿温度对激光陀螺零偏的影响,使其达到惯性级陀螺仪的精度要求,分析了温度对激光陀螺零偏误差的产生机理,在大量高低温环境试验的基础上,建立了一种通用的零偏温度补偿模型和一种BP神经网络模型,并给出了模型参数的辨识方法,仿真结果表明,对该模型作适当的简化,可以将零偏减小一个数量级以上,而且具有实时补偿性能。
To reduce and compensate the influence of temperature on ring laser gyro(RLG) bias error and attain the precision of inertial level gyro, the mechanism of RLG zero-bias error due to temperature is analyzed. Based on a great number of environ- mental temperature experiments of RLG, a general temperature compensating model and a new kind of BP neural network model are established. A method for identifying the model parameter is proposed. Simulation results show that the simplified compensa- ting model can reduce the zero-bias by more than a magnitude and achieve real-time compensating feature.
出处
《鱼雷技术》
2009年第5期53-57,共5页
Torpedo Technology
基金
教育部新世纪优秀人才支持计划(NCET-06-0877)