光纤陀螺捷联姿态算法的改进研究

Improved Attitude Algorithm of Strapdown System Based on FOG

传统的捷联姿态算法一般只采用陀螺角增量信号来进行设计,当应用于由输出为角速率的干涉型光纤陀螺构成的捷联姿态系统时,不仅在精度上存在局限,而且还由于通过角速率提取角增量而带来更大误差。因此,同时利用角速率及角增量信号,优化设计出一类新的旋转矢量姿态算法,给出了算法的圆锥误差表达式,并进行了仿真分析。结果表明,新的算法精度较传统算法有显著提高。

Classical attitude algorithms of Strapdown inertial system often use incremental angular signals. However, the outputs of interferometer FOG are angular rate signals. In this paper, the improved attitude algorithms are developed using both angular rate and incremental angular signals, and the coning errors of the algorithms are given. Simulations are made which indicate that the improved algorithms are more accurate than the classical ones.