A Novel Temperature Error Compensation method for MEMS Gyros Based on WOA-SVR

Abstract

Most MEMS inertial navigation systems (INS) need to meet a wide working temperature range of - 20 ~+ 55°C. MEMS gyroscope is the core component of MEMS INS and the accuracy of MEMS gyros directly affects the navigation performance. However, the output of MEMS gyros is inevitably affected by temperature. Due to the limited temperature error compensation accuracy of traditional method based on least squares polynomial fitting, the paper presents a new temperature error compensation method based on Whale Optimization Algorithm (WOA) optimized support vector regression (SVR), which is achieved the optimization of SVR by WOA. After simulation and MEMS gyros temperature error compensation test. The results show that the WOA-SVR can effectively compensate the temperature error of MEMS gyros. And the accuracy is significantly improved compared with the traditional methods.