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| 智能磁航向传感器的研制及误差补偿算法分析 | |
| 引用本文： | 杨新勇,黄圣国.智能磁航向传感器的研制及误差补偿算法分析[J].北京航空航天大学学报,2004,30(3):244-248. |
| 作者姓名： | 杨新勇 黄圣国 |
| 作者单位： | 1. 南京航空航天大学 自动化学院， 南京 210016; 2. 南京航空航天大学 民航学院， 南京 210016 |
| 摘 要： | 介绍了微型智能磁传感器的设计,分析了影响磁航向精度的误差来源.在此基础上提出了基于BP神经元网络、最小二乘及最佳椭圆拟合等3种不同的磁航向误差补偿算法,详细分析了每种算法的工作原理,并立足于算法的具体实现,通过现场试验,从精度、速度、效率等3个方面对算法的有效性加以分析验证,并得出结论. |
| 关 键 词： | 神经网络 最小二乘法 磁阻传感器 最佳椭圆拟合 误差补偿 |
| 文章编号： | 1001-5965(2004)03-0244-05 |
| 收稿时间： | 2002-10-28 |
| 修稿时间： | 2002年10月28日 |
Development of intelligent magnetic heading sensor and analysis of its error compensation algorithms |
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| Yang Xinyong,Huang Shengguo.Development of intelligent magnetic heading sensor and analysis of its error compensation algorithms[J].Journal of Beijing University of Aeronautics and Astronautics,2004,30(3):244-248. | |
| Authors: | Yang Xinyong Huang Shengguo |
| Institution: | 1. College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China; 2. College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China |
| Abstract: | The design of a micro intelligent magnetic heading sensor and error sources which affect heading accuracy are introduced. Further, three compensation algorithms based on BP neural networks, least square method and ellipse-specific fitting method are presented respectively. Each compensation algorithm is analyzed in detail. From the point of specific algorithm implementation, accuracy, velocity, efficiency of each compensation algorithm are analyzed and testified based on experimental results. |
| Keywords: | neural networks least squares methods magnetic heading sensor ellipse specific fitting method error compensation |
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