基于FPGA的小型捷联式惯性导航系统研究
[Abstract]:Inertial navigation system has the characteristics of autonomy, high concealment, anti-jamming and so on. It is an important navigation system in aerospace and military fields, and its characteristics can not be compared with other navigation systems. With the rapid development of MEMS (MEMS), a new generation of micro gyroscopes and accelerometers appear, which reduces the manufacturing cost of inertial sensors. In order to popularize inertial navigation system in civil field, it is necessary to design a small hardware platform with low power consumption and portable to realize the function of inertial navigation system. In order to solve this problem, the strapdown inertial navigation system is studied in this paper. Firstly, the calculation method of strapdown inertial navigation system is studied, and the model of strapdown inertial navigation is systematically constructed by analyzing the motion principle of inertial devices. Secondly, a small navigation hardware platform based on FPGA is designed. The platform includes sensor module, operation module, communication module, power module and display module. The auxiliary navigation sensors, magnetometer and GPS receiver, are integrated, and the arithmetic processing is carried out around the soft processor core MicroBlaze on the FPGA chip. The sensor data collection, interface communication and corresponding control are realized by adding the peripheral IP core. Then, the software part of the navigation system is designed with C language as the development tool. To solve the problem of FPGA startup loading, a dual software engineering architecture is proposed to complete the program transfer after the system is powered on. In view of the dual software engineering code is stored in FLASH, a configuration file storage method based on synchronous word is proposed, which avoids the data storage conflict and is easy to read in blocks. Then, the complementary filtering data fusion algorithm for magnetometer and inertial navigation system is studied, and the complementary filtering model is derived based on the second-order low-pass filter. At the same time, the data fusion model of GPS/ inertial navigation system based on Kalman filter is designed. Finally, a set of three-dimensional attitude testing platform is constructed to verify the effect of mutual compensation filtering algorithm. Further vehicle test of the navigation system proves that the hardware system is operable and running stably.
【学位授予单位】:中国民航大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TN96
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