基于AFSA的加速度计温度误差建模及参数辨识技术研究

减小温度变化对石英挠性加速度计输出的稳定性的影响，对提高惯性导航系统的精度有十分重要的意义。在建立石英挠性加速度计静态温度模型的基础上，采用AFSA对模型参数进行寻优，并给出了详细的建模步骤。结果分析表明，人工鱼群算法能够准确，快速的寻到模型参数。根据所建立的温度模型对加速度计输出进行补偿，加速度计的温度特性有了明显的改善。

Research on Accelerometers Temperature Mode and Parameter Identification Technology Based on AFSA

Reducing the effects of temperature variation on the stability in quartz accelerometers output is of great significance to improve the accuracy of the inertial navigation system. On the basis of establishment of quartz accelerometers static temperature model, we adopt the artificial fish swarm algorithm (AFSA) to optimize the model parameters, and provide detailed modeling steps. The results show that the AFSA can search for the model parameters accurately and quickly.Compensated accelerometer output according to the established temperature model, and the accelerometer temperature characteristics has been significantly improved.