【摘 要】
：
According to the characteristics of the random errors of MIMU,an Allan variance analysis method fused with genetic algorithm is proposed,which can effective
【机 构】
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Department of Navigation,Naval University of Engineering,Wuhan 430033,China
【出 处】
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全球智能工业创新大会暨全球创新技术成果转移大会(GIIC2018)——2018智能无人系统大会
论文部分内容阅读
According to the characteristics of the random errors of MIMU,an Allan variance analysis method fused with genetic algorithm is proposed,which can effectively evaluate the different random errors.Firstly,how to analyze and identify the errors of inertial devices by Allan variance analysis method is introduced in detail.Then,according to the characteristics of genetic algorithm that can achieve global optimum,an Allan variance analysis method fused with genetic algorithm is proposed.Finally,by long-time experiment to test the MEMS inertial devices of three different manufacturers,the measured data of gyro and accelerometer are processed and compared respectively,and the numerical results of each random error have been calculated,which proved the validity of the method.This method combines genetic algorithm with Allan variance analysis method,providing a new idea for the theoretical study of random error field in MEMS inertial devices.
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