中国激光, 2009, 36 (s2): 27, 网络出版: 2009-12-30
消除光纤陀螺非线性误差的自适应模糊神经网络系统建模算法
Study of ANFIS Modeling Algorithm for Eliminating the Fiber Optic Gyro Nonlinear Error
光学器件 光纤陀螺 非线性 自适应模糊神经系统 零漂 刻度因子 optical devices fiber optic gyro nonlinear adaptable fuzzy neural inference system zero drift scale factor
摘要
光纤陀螺的静态零位漂移是影响系统测量精度的主要因素,零位漂移的大小主要与开机时间和运行温度有关。分析了开环光纤陀螺(O-FOG)的温度和非线性特性,利用自适应模糊神经网络系统(AFNIS),以时间、温度和输入角速率为参量建立了O-FOG的零漂和刻度因子非线性误差混合模型。通过训练可以使该模型具有较高的精度。实验结果表明,补偿后的O-FOG克服了零漂和刻度因子的非线性对其测量精度的影响,使其在全温范围内的测量精度得到了较大提高,证明了该方法的可行性。
Abstract
The drift of zero output is the main fact to impact measurement precision of the system. The temperature and nonlinearity which effect the measuremert precision the open-loop fiber optic gyro (O-FOG) are analyzed,and a novel model is presented to compensate errors caused by temperature and scale factor nonlinearity. The model is related with three factors:operate time,temperature and input angular rate. The precision can be improved by training. Experimental results show that it can eliminate effect of temperature drift and scale factor. The precision is improved in all temperature range,which shows the scheme′s feasibility.
刘宇, 孙燕斌, 路永乐, 李东福, 黎蕾蕾, 潘英俊. 消除光纤陀螺非线性误差的自适应模糊神经网络系统建模算法[J]. 中国激光, 2009, 36(s2): 27. Liu Yu, Sun Yanbin, Lu Yongle, Li Dongfu, Li Leilei, Pan Yingjun. Study of ANFIS Modeling Algorithm for Eliminating the Fiber Optic Gyro Nonlinear Error[J]. Chinese Journal of Lasers, 2009, 36(s2): 27.