【作者】 满春涛； 刘晓庆； 张礼勇；

【Author】 Man Chuntao1, Liu Xiaoqing2, Zhang Liyong3(1 School of Control ,Harbin University of Science and Technology, Harbin 150080, China ;2 Automation College, Harbin Engineering University, Harbin 150001,China;3 School of Measurement-Control Tech & Communications Engineering, Harbin. University of Science and Technology,Harbin 150080, China)

【机构】 哈尔滨理工大学自动化学院； 哈尔滨工程大学自动化学院； 哈尔滨工程大学测控技术与通信工程学院；

【摘要】 在高精度惯性系统的应用领域里光纤陀螺系统参数标定是首要环节,标定的好坏将直接影响光纤陀螺的实际使用性能,进而影响其系统精度。通常采用延长采样时间增加平均次数等方法来减少光纤陀螺信号噪声对标定结果的影响,虽然取得一定效果但不能从根本上解决问题。尝试将小波理论与传统的静态标定方法相结合即利用小波分析法对光纤陀螺系统标定的测试数据进行处理,通过试验表明该方法既能有效地去除陀螺信号中的噪声提高标定精度,又能缩短采样时间、提高标定效率。更多还原

【Abstract】 In the application domain of the high accuracy inertial navigation system,the coefficient calibration of fiber optical gyro system is the most important step,quality of which will directly affect the fiber optical gyro’s actual operational performance and then affect the precision of the system. Usually, prolonging sampling time or increasing average times and some other methods are taken to eliminate the influence of the fiber optical gyro’s signal noise, which has certain effect but still can not solve the problem fundamentally. We manage to combine the traditional static calibration method with the wavelet theory, namely to use the wavelet analysis to process calibration test data of the fiber optical gyro system. The experiments indicate that this method not only can eliminate the gyro signal noise effectively and enhance calibration precision, but also can shorten the sampling time and enhance calibration efficiency.更多还原