| RBF神经网络在惯导系统传递对准中的应用 |
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| 引用本文： | 王希彬,赵国荣,高青伟.RBF神经网络在惯导系统传递对准中的应用[J].系统仿真技术,2008,4(4):233-236. |
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| 作者姓名： | 王希彬 赵国荣 高青伟 |
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| 作者单位： | 海军航空工程学院控制工程系,山东,烟台,264001 |
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| 基金项目： | 总装备部“十一五”预研资助项目(51309060401) |
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| 摘 要： | 针对系统阶次较高时卡尔曼滤波实时性较差的特点，将径向基（radial basis function，RBF）神经网络替代卡尔曼滤波应用于舰载机惯导系统的传递对准。利用卡尔曼滤波的输入、输出作为RBF神经网络滤波的样本值进行训练，得到了神经网络的输出值，实现了惯导传递对准中的滤波功能。仿真结果表明将RBF神经网络用于传递对准，既获得了与卡尔曼滤波相当的精度，又有效地降低了系统的解算时间，提高了系统的实时性。
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| 关 键 词： | 径向基神经网络 舰载机 惯导系统 传递对准 卡尔曼滤波 |
Application of RBF Neural Network to Transfer Alignment of INS |
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| WANG Xibin,ZHAO Guorong,GAO Qingwei.Application of RBF Neural Network to Transfer Alignment of INS[J].System Simulation Technology,2008,4(4):233-236. |
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| Authors: | WANG Xibin ZHAO Guorong GAO Qingwei |
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| Affiliation: | Department of Control Engineering;Naval Aeronautical and Astronautical University;Yantai 264001;China |
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| Abstract: | Considering the character of Kalman filter's bad real time when system step is high,radial basis function(RBF) neural network is applied to transfer alignment of carrier aircraft's inertial navigation system(INS).Train the sample of the input and output of Kalman filter,get the output of neural network,and realize the function of estimation of transfer alignment in the INS.Simulation results show that with the application of RBF neural network in transfer alignment,not only get the precision similar to Kalm... |
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| Keywords: | radial basis function neural network carrier aircraft inertial navigation system transfer alignment Kalman filter |
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