基于人工鱼群算法的机抖激光陀螺温度补偿
Temperature compensation method for bias of ring laser gyroscope based on artificial fish swarm algorithm
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摘要: 温度是影响激光陀螺精度的主要因素之一，对温度引起的机抖激光陀螺漂移进行精确建模，对提高激光陀螺捷联惯导系统的精度具有十分重要的意义。介绍了机抖激光陀螺的温度特性，建立了基于改进人工鱼群算法（Improved Artificial Fish Swarm Algorithm，IAFSA）的机抖激光陀螺温度补偿模型，给出了IAFSA 建模的详细步骤和方法， 对传统的逐步回归方法和IAFSA 进行了比较。结果表明：IAFSA可以对温度引起的激光陀螺漂移进行精确建模，补偿后的激光陀螺零偏不稳定性达到0.001 85（）/h，比传统的逐步回归方法建模精度提高了15.5%，得到的温度补偿模型可以对陀螺的零偏进行实时补偿，设计了两种典型的温度试验，获得了满意的补偿效果。Abstract: Temperature is an important factor for affecting the accuracy of ring laser gyroscope (RLG). The relationship of RLG's bias to temperature should be established accurately which can improve the precision of RLG strapdown inertial navigation system. Temperature characteristic of RLG was introduced. Temperature compensation method for RLG's bias based on improved artificial fish swarm algorithm (IAFSA) was established and the steps and methods were given. The traditional modeling method of stepwise regression was also investigated to provide a comparison with the IAFSA. The result shows that the temperature compensation model by IAFSA is accurate. The bias instability of RLG output after compensation is 0.001 85 ()/h and its precision is 15.5% which is higher than that of the traditional stepwise regression. The results of two typical temperature tests show that temperature compensation model by IAFSA can compensate RLG's bias real-time.
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