作者: Lingling Wang , Li Fu , Ming Xin
DOI: 10.3390/S18010282
关键词: Singular perturbation 、 Inertial frame of reference 、 Perturbation (astronomy) 、 Vibration 、 Control theory 、 Gravitation 、 Inertial navigation system 、 Compensation algorithm 、 Computer science
摘要: In order to decrease the velocity sculling error under vibration environments, a new compensation algorithm for strapdown inertial navigation system (SINS) using angular rate and specific force measurements as inputs is proposed in this paper. First, formula incremental update analytically derived terms of force. Next, two-time scale perturbation models are constructed. The correction term gravitational search optimization method used determine parameters models. Finally, performance evaluated stochastic real environment, which different from conventional algorithms simulated pure circumstance. A series test results demonstrate that can achieve balanced real/pseudo during with advantage less computation load compared algorithms.