CAJ | 학술논문

温度漂移是影响光纤陀螺精度的重要因素之一。在对光纤陀螺温度漂移特性进行实验分析的基础上，对零偏温度漂移进行了多项式拟合补偿。为了解决传统曲面拟合方法无法精确描述标度因数温度漂移与温度、转速之间的关系导致其补偿精度低的问题，提出了一种基于自适应网络模糊推理的光纤陀螺温度漂移补偿新方法。该方法基于模糊逻辑，结合最小二乘和误差反向传播混合算法，设计了自适应网络模糊推理系统，从而有效提高了光纤陀螺温度漂移补偿精度。实验结果表明，在-30～60℃温度范围和-165～165(°)/s 载体角速率范围，应用新方法对光纤陀螺温度漂移进行补偿，得到的训练误差均方根不超过0.003(°)/s，预测误差均方根不超过0.005(°)/s。
온도표이시영향광섬타라정도적중요인소지일。재대광섬타라온도표이특성진행실험분석적기출상，대령편온도표이진행료다항식의합보상。위료해결전통곡면의합방법무법정학묘술표도인수온도표이여온도、전속지간적관계도치기보상정도저적문제，제출료일충기우자괄응망락모호추리적광섬타라온도표이보상신방법。해방법기우모호라집，결합최소이승화오차반향전파혼합산법，설계료자괄응망락모호추리계통，종이유효제고료광섬타라온도표이보상정도。실험결과표명，재-30～60℃온도범위화-165～165(°)/s 재체각속솔범위，응용신방법대광섬타라온도표이진행보상，득도적훈련오차균방근불초과0.003(°)/s，예측오차균방근불초과0.005(°)/s。
The temperature drift is one of main factors influencing on the precision of a fiber optic gyroscope (FOG). The characteristic of FOG temperature drift was analyzed through temperature experiments. The zero bias temperature drift was compensated using the polynomial fitting method. To deal with the problem of poor compensation precision caused by the fact that the traditional surface fitting method can not describe the relationship between the scale factor temperature drift and the temperature or the angular rate accurately, a novel compensation approach for FOG temperature drift was proposed based on the adaptive neuro-fuzzy inference method. Based on the fuzzy logic, the approach combines the least square method with the back-propagation hybrid optimization algorithm to design an adaptive neuro-fuzzy inference system, so the compensation precision was improved effectively. The experiment results show that the training error root mean square and the predicted error root mean square of the new compensation approach are less than 0.003(°)/s and 0.005(°)/s respectively in the temperature range from-30℃ to -60℃ and the angular rate range from -165(°)/s to 165(°)/s.