针对光纤陀螺温度稳定性低、受环境温度影响参数变化，导致使用精度不高的问题，提出了一种光纤陀螺静态温度综合误差建模补偿方法。综合考虑温度、光纤陀螺标度因数非线性以及零偏漂移的影响，建立了以时间、温度和输入角速率为参量的光纤陀螺静态温度混合模型；采用分类拟合方法确定模型阶次，辨识模型参数；基于温度速率实验，提出迭代补偿算法。实验结果表明，经过综合误差补偿后的光纤陀螺消除了温度和标度因数非线性对其性能的影响，使它在全温度和全速率下的测量精度得到了极大提高，从而证明了该方法的有效性。

To solve the problem of the low accuracy of the fiber optic gyroscope (FOG), which is influenced by the bad temperature stability of FOG that the parameters are changed, a new static synthetically compensation method is proposed. Thinking of the property of the temperature, the scale factor nonlinearity and the null-bias drift of FOG, a novel model is researched, which is related to factors of operating time, temperature and input angular rate. The model orders are identified using the classification fitting method. Based on a great deal of tests of temperatures and input angular rates, error-compensation iterative algorithm is proposed. The test results show that the compensation algorithm is effective at full temperatures and full rotate rates, which eliminates the influence of temperature and nonlinearity of FOG.