动力调谐陀螺仪系统辨识方法

针对动力调谐陀螺仪(DTG）系统辨识中,传统辨识方法(最小二乘类辨识法和频域辨识法）辨识拟合度不高的问题,提出去离群点频域辨识法。该方法结合DTG模型结构特征和固有有色噪声特点,将去离群点思想应用于DTG模型的频域辨识。实验结果表明,去离群点频域辨识法的辨识效果优于最小二乘类辨识法和传统频域辨识法,辨识拟合度在90%以上,并且辨识结果重复性好,辨识算法稳定。在DTG系统辨识中,去离群点频域辨识法能够提高辨识拟合度。

Dynamically tuned gyroscope system identification method

In Dynamically Tuned Gyroscope (DTG) system, traditional identification methods, including least square identification method and traditional frequency domain identification method, could not achieve acceptable identification fitness degree. To deal with this problem, outlier-eliminated frequency identification method was proposed. In consideration of the characteristics of DTG model structure and intrinsic colored noise, outlier-eliminated method was applied to DTG frequency domain identification. The experimental results indicate that outlier-eliminated frequency identification method, with a fitness degree above 90%, compared with both least square identification method and traditional frequency domain identification method, has a better performance. In addition, outlier-eliminated frequency identification method possesses of good repeatability and stability. Outlier-eliminated frequency identification method could improve the identification fitness degree of DTG system.