基于模糊逻辑的光纤陀螺温度补偿技术

为了消除温度效应并提高陀螺精度,将模糊逻辑应用于光纤陀螺的温度漂移模型的辨识和自补偿中方案中。在模糊逻辑理论的框架下,根据光纤陀螺系统的模糊信息,建立模糊规则,进行模糊推理,实现对陀螺输出的近似辨识。此方法对其他没有温度相似性的陀螺也适用。在实际验证实验中,针对不同的陀螺,通过预先实验建立各自的规则表,然后进行实时补偿,在全温度范围内陀螺的零偏稳定性从0.3647(o)/h减小到0.0868(o)/h,陀螺预热时间缩短到30s以内。目前,在陀螺工艺条件还不够稳定的状态下,此方案是实用和可行的。

Temperature compensation for FOG based on fuzzy logic

Fuzzy logic was applied into temperature drift model identification and self-compensation in Fiber Optic Gyros(FOG) to eliminate the temperature effect and improve its precision. With the frame of fuzzy logic theory,the fuzzy regulation and illation were formed according to fuzzy information of the FOG system. Then the approximate identification was carried out. The method is also applicable to the gyros without temperature comparability. In testing experiments,the different regulation-tables corresponding to different gyros were established,then the real-time compensations were carried out. The bias stability has been reduced from 0.3647 (o)/h to 0.0868 (o)/h. Furthermore,the warm-up time has been shortened to within 30 s. Therefore,the method is practicable and feasible since the present technical condition of FOG is still unstable.