Conventional gyrocompass alignment methods are based on relatively small azimuth misalignment angles.However,a marine strapdown inertial navigation system may face large azimuth misalignment angle caused by a failed c...Conventional gyrocompass alignment methods are based on relatively small azimuth misalignment angles.However,a marine strapdown inertial navigation system may face large azimuth misalignment angle caused by a failed coarse alignment algorithm.This paper provides a novel gyrocompass alignment method to solve the problem.Effects of system parameters are analyzed and the proper scenario of parameter switch based on the classic control theories is derived.Test results show that compared with the conventional methods,our method can accomplish the initial alignment quickly and accurately under large azimuth misalignment angle.展开更多
All the methods to handle the inertial navigation system (INS) alignment were sub-optimal in the past. In this paper, particle filtering (PF) as an optimal method is used for solving the problem of INS alignment. A s...All the methods to handle the inertial navigation system (INS) alignment were sub-optimal in the past. In this paper, particle filtering (PF) as an optimal method is used for solving the problem of INS alignment. A sub-optimal two-step filtering algorithm is presented to improve the real-time performance of PF. The approach combines particle filtering with Kalman filtering (KF). Simulation results illustrate the superior performance of these approaches when compared with extended Kalman filtering (EKF).展开更多
基金the National Natural Science Foundation of China(Nos.51307026,61370083,61073043 and61073041)the Harbin Special Funds for Technological Innovation Research(No.2013RFQXJ117)the National Research Foundation for the Doctoral Program of Higher Education of China(Nos.20112304110011 and20122304110012)
文摘Conventional gyrocompass alignment methods are based on relatively small azimuth misalignment angles.However,a marine strapdown inertial navigation system may face large azimuth misalignment angle caused by a failed coarse alignment algorithm.This paper provides a novel gyrocompass alignment method to solve the problem.Effects of system parameters are analyzed and the proper scenario of parameter switch based on the classic control theories is derived.Test results show that compared with the conventional methods,our method can accomplish the initial alignment quickly and accurately under large azimuth misalignment angle.
文摘All the methods to handle the inertial navigation system (INS) alignment were sub-optimal in the past. In this paper, particle filtering (PF) as an optimal method is used for solving the problem of INS alignment. A sub-optimal two-step filtering algorithm is presented to improve the real-time performance of PF. The approach combines particle filtering with Kalman filtering (KF). Simulation results illustrate the superior performance of these approaches when compared with extended Kalman filtering (EKF).
