Simulation Research on GM Navigation Based on AFSA

Abstract:

Geomagnetic matching (GM) is a new developmental technology in recent years. For resolving the cumulate errors of position, velocity, attitude in an inertial navigation system (INS), utilizing artificial fish swarm algorithm (AFSA) to carry on GM is proposed, and then the attained matching position regarded as measurement of filter to achieve the emendation of INS. Firstly, affine transformation model between inertial and real trajectories is displayed and the principle of INS/GM is explained. Secondly, the state of artificial fish (AF), distance and food consistence are defined afresh, and then the flow chart based on AFSA is given. Lastly, simulation analysis is performed in actual geomagnetic reference map (GRM). The results show that the algorithm actualizes the GM when the inertial system exist position, velocity and attitude error, that is the algorithm got the optimized global solution, with that, the data fusing is finished with the results that not only reduce error evidently but also verify the validity and feasible of the algorithm.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 2555-2559
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.2555
• Online since: July 2014
• Authors: Zhan Long Zhu*, Gong Liu Yang, Jing Li, Shu Jie Yang, Yuan Yuan Liu
• Keywords: Affine Transformation, Artificial Fish Swarm Algorithm, Extended Kalman Flter (EKF), Geomagnetic Matching, Inertial Navigation System

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