ELM-AdaBoost模型在光纤陀螺温度误差补偿中的应用  

Application of ELM-AdaBoost Model in Temperature Error Compensation of Fiber Optic Gyroscope

作　　者：王瑞 郑百东 李飞 刘伟 戴洪德 Wang Rui;Zheng Baidong;Li Fei;Liu Wei;Dai Hongde(School of Aviation Foundation,Naval Aviation University,Yantai 264001,China)

机构地区：[1]海军航空大学航空基础学院,山东烟台264001

出　　处：《兵工自动化》2024年第2期63-68,共6页Ordnance Industry Automation

基　　金：山东省自然科学基金(ZR2017MF036);山东省高等学校青年创新团队项目(2020KJN003);国防科技项目基金项目(F062102009)。

摘　　要：针对光纤陀螺零偏与温度之间复杂的非线性关系,引入极限学习机(extreme learning machines,ELM)模型补偿光纤陀螺的零偏温度误差;针对单个ELM在预测准确性和稳定性不足及其对奇异样本敏感的问题,引入自适应增强算法(adaptive boosting,AdaBoost)建立ELM-AdaBoost预测模型改善光纤陀螺性能,分析光纤陀螺的温度误差机理及模型参数对预测精度的影响,给出ELM算法隐含层神经元个数及AdaBoost算法迭代次数的确定方法。仿真结果表明:基于ELM-AdaBoost预测模型的补偿效果优于多元线性回归模型和单个ELM神经网络模型,并具有良好的泛化性能和温度适用性,补偿后陀螺零偏均方根误差降低93%以上,显著改善了光纤陀螺零偏稳定性能。For the complex nonlinear relationship between zero bias and temperature of fiber optic gyro(FOG),extreme learning machines(ELM)model is introduced to compensate the zero bias temperature error of FOG.Aiming at problems of insufficient prediction accuracy and stability of a single ELM and its sensitivity to singular samples,the adaptive boosting(AdaBoost)algorithm is introduced to establish an ELM-AdaBoost prediction model to improve the FOG performance.The temperature error mechanism of fiber optic gyroscope and the influence of model parameters on the prediction accuracy are analyzed,and the determination methods of the number of neurons in the hidden layer of ELM algorithm and the number of iterations of AdaBoost algorithm are given.The simulation results show that.The compensation effect based on ELM-AdaBoost prediction model is better than the multiple linear regression model and single ELM neural network model,and has good generalization performance and temperature applicability,and the root mean square error of gyro zero bias is reduced by more than 93%after compensation,which significantly improves the stability performance of fiber optic gyro zero bias.

关 键 词：光纤陀螺 温度零偏误差 ELM-AdaBoost预测模型 模型参数 零偏稳定性 

分 类 号：TJ765.231[兵器科学与技术—武器系统与运用工程] V241.533[航空宇航科学与技术—飞行器设计]