Error Analysis And Compensation Of MEMS Gyroscope In Complex Environment

MEMS(Micro Electomechanical System)Gyroscopes are widely used in many c ivil fields,such as vehicle navigation,robot attitude measurement system,anti shake p latform for photographing devices,virtual body sense games,electronic toys and so on,because they are characterized by small life,low cost,low impact and low power co nsumption.MEMS gyroscope has great development value and broad prospect.Its exc ellent characteristics make it widely concerned by many countries in the world,and h as been listed as one of the key technologies for the revitalization and development in21 th Century.Because the precision of MEMS gyroscope is relatively low,it is one of the key problems to improve the precision of MEMS gyroscope.There are two ways to impr ove the precision of the gyroscope: the software compensation and the hardware comp ensation.In this paper,the error of MEMS gyroscope is analyzed and compensated fr om the angle of software compensation.In this paper,the development and research status of MEMS gyroscope at home and abroad are introduced.The error of MEMS gyroscope is proposed.The random er ror of MEMS Gyroscope,the error of different temperature and the error of vibration are also presented.Three methods based on wavelet analysis,radial basis neural netwo rk and Kalman filter are proposed to compensate the output error of MEMS gyroscop e.First of all,the wavelet threshold denoising method is proposed to deal with MEM S Gyroscopes output data,respectively introduces the soft threshold method,hard thres hold method and compromise method of three methods,the MEMS gyro static rando m error is compensated,and the Allan variance is used to filter the results of identific ation and evaluation.The experiment results show that the three methods can reduce t he static error of the MEMS gyroscope and improve the precision of the MEMS gyroscope.Secondly,this paper describes the design and Implementation for the full tempe rature experiments of MEMS gyroscope,the MEMS gyro output data at-40°C-60°C u nder the condition of error analysis the full temperature condition,and the RBF neural network for modeling,so as to reduce the total output temperature experiment error of MEMS Gyroscope instrument improve the accuracy of fog.Finally this paper propo sed the error analysis of the vibration condition of MEMS gyroscope by constant amp litude random vibration and random vibration amplitude,vibration and the error condit ion is analyzed and compensated by the Kalman filter,the experiment results show th at this method can effectively improve the MEMS gyro instrument under vibration con dition accuracy.