| 低精度捷联惯性航姿系统姿态算法研究 |
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| 引用本文： | 艾瀛涛,马春艳,马小艳.低精度捷联惯性航姿系统姿态算法研究[J].战术导弹控制技术,2008(2). |
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| 作者姓名： | 艾瀛涛 马春艳 马小艳 |
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| 作者单位： | 北京自动化控制设备研究所; |
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| 摘 要： | 针对纯惯导情况下的航姿系统,采用了一种模糊判别算法,实时判断系统的运动状态,根据系统的运动状态自适应调整卡尔曼滤波器的量测噪声方差阵,进而通过卡尔曼滤波算法估计姿态角误差。试验结果表明,该方法有效提高了系统的姿态精度。
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| 关 键 词： | 捷联惯性航姿系统 姿态算法 模糊判别算法 卡尔曼滤波 |
Attitude algorithm in low precision strapdown inertial attitude and heading reference system |
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| AI Ying-tao MA Chun-yan MA Xiao-yan.Attitude algorithm in low precision strapdown inertial attitude and heading reference system[J].Control Technology of Tactical Missile,2008(2). |
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| Authors: | AI Ying-tao MA Chun-yan MA Xiao-yan |
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| Affiliation: | Beijing Institute of Automatic Control Equipment;Beijing 100074;China |
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| Abstract: | Aiming at the Strapdown Inertial Attitude and Heading Reference System(SIAHRS),the sys- tem's motion status was judged real-time and accurately using a kind of fuzzy estimation algorithm.So the Kalman filter's measurement noise covariance matrix could be self-adjusted according to the system's mo- tion status.Then the attitude angle errors was estimated by the Kalman filter algorithm.The experimental results show that the system's attitude precision is effectively improved. |
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| Keywords: | Strapdown Inertial Attitude and Heading Reference System attitude algorithm fuzzy estimation algorithm Kalman filter |
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