The effect of the temperature-correlated error of inertial MEMS sensors on the integration of GPS/INS
نویسندگان
چکیده
The performance of inertial MEMS sensors – gyroscopes and accelerometers – depends heavily on the operating temperature. That is, their accuracy will degrade dramatically with rising temperature. In this paper the errors of inertial sensors as a result of varying temperature will be first modelled. The accuracies obtained with constant and varying temperatures will be compared and analysed. Then, the performance of the loosely-coupled GPS/MEMS-INS will be studied by simulations. The measurements are the differences of the GPS and INS positions. Two integration schemes are studied. In the first scheme, the error models of the inertial sensors are temperature-varying while they are temperature-invariant in the second scheme. That is, the temperature is not considered in the second scheme, even though the errors of the inertial sensors are temperature-varying. In this paper, three methods, including (1) control of the device’s working temperature, (2) modelling and compensation of the inertial sensors’ temperature-correlated errors, and (3) real-time compensation of these errors within the integration filter, are analysed and compared. The last method is the focus of this paper. Its effectiveness is investigated through simulations.
منابع مشابه
GPS/INS Integration for Vehicle Navigation based on INS Error Analysis in Kalman Filtering
The Global Positioning System (GPS) and an Inertial Navigation System (INS) are two basic navigation systems. Due to their complementary characters in many aspects, a GPS/INS integrated navigation system has been a hot research topic in the recent decade. The Micro Electrical Mechanical Sensors (MEMS) successfully solved the problems of price, size and weight with the traditional INS. Therefore...
متن کاملPerformance Enhancement of GPS/INS Integrated Navigation System Using Wavelet Based De-noising method
Accuracy of inertial navigation system (INS) is limited by inertial sensors imperfections. Before using inertial sensors signals in the data fusion algorithm, noise removal method should be performed, in which, wavelet decomposition method is used. In this method the raw data is decomposed into high and low frequency data sets. In this study, wavelet multi-level resolution analysis (WMRA) techn...
متن کاملPerformance Test Results of an Integrated GPS/MEMS Inertial Navigation Package
This paper describes the design, operation and performance test results of a miniature, low cost integrated GPS/inertial navigation system (INS) designed for use in UAV or UGV guidance systems. The system integrates a miniaturized commercial GPS with a low grade Micro-Electro-Mechanical (MEMS) inertial measurement unit (IMU). The MEMS IMU is a small self-contained package (< 1 cu inch) and incl...
متن کاملA Hierarchical SLAM/GPS/INS Sensor Fusion with WLFP for Flying Robo-SAR's Navigation
In this paper, we present the results of a hierarchical SLAM/GPS/INS/WLFP sensor fusion to be used in navigation system devices. Due to low quality of the inertial sensors, even a short-term GPS failure can lower the integrated navigation performance significantly. In addition, in GPS denied environments, most navigation systems need a separate assisting resource, in order to increase the avail...
متن کاملImprovement of Navigation Accuracy using Tightly Coupled Kalman Filter
In this paper, a mechanism is designed for integration of inertial navigation system information (INS) and global positioning system information (GPS). In this type of system a series of mathematical and filtering algorithms with Tightly Coupled techniques with several objectives such as application of integrated navigation algorithms, precise calculation of flying object position, speed and at...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009