| 基于RBF神经网络的Kalman滤波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. 基于RBF神经网络的Kalman滤波在惯导系统传递对准中的应用[J]. 兵工自动化, 2008, 27(11): 64-66 |
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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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| 摘 要： | 针对模型存在误差时传统的Kalman滤波算法误差变大甚至发散的缺点，利用RBF神经网络较强的非线性逼近能力，提出用RBF神经网络辅助Kalman滤波的新算法，将其应用于舰载机惯导系统的传递对准中。仿真表明该算法优于传统Kalman滤波算法。
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| 关 键 词： | RBF神经网络 Kalman滤波 传递对准 |
Application of Kalman Filter on Transfer Alignment of INS Based on RBF Neural Network |
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| WANG Xi-bin,ZHAO Guo-rong,GAO Qing-wei. Application of Kalman Filter on Transfer Alignment of INS Based on RBF Neural Network[J]. Ordnance Industry Automation, 2008, 27(11): 64-66 |
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| Authors: | WANG Xi-bin ZHAO Guo-rong GAO Qing-wei |
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| Affiliation: | (Dept. of Control Engineering, Naval Aeronautical ＆ Astronautical University, Yantai 264001, China) |
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| Abstract: | In view of the shortcoming of the traditional Kalman filter algorithm which the probable error fill-out even disseminate when the model has errors. Based on the strong non-linearity approximation capability of RBF neural network, propose assisting the Kalman filter with the RBF neural network, and apply it to transfer alignment of carder-based aircraft＇s INS. Simulation results indicate this algorithm is better than traditional Kalman filter algorithm. |
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| Keywords: | RBF neural network Kalman filter Transfer alignment |
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