A real-time intelligent route planning method for unmanned aircraft is proposed in this paper for the geomagnetic navigation. Borrow ideas from classical particle swarm optimisation (PSO) algorithm, a two-subpopulation particle swarm optimisation (TSPSO) algorithm is given, which can track the changeable environment factor quickly and accurately. Based on TSPSO algorithm, a real-time route planning algorithm is researched including its two key points: route node extension and fitness function calculation. Simulation experiment results indicate that the real-time route planning method designed in this paper can track the changeable environment factor intelligently and replan a new route in time.
A real-time intelligent route planning method in geomagnetic navigation
International Journal of Mechatronics and Automation (IJMA) (Online) ; 2 , 2 ; 125-131
2012
7 Seiten, 6 Bilder, 1 Tabelle, 12 Quellen
Article (Journal)
English
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