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.


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    Title :

    A real-time intelligent route planning method in geomagnetic navigation


    Contributors:
    Sun, Yuan (author) / Zhang, Jinsheng (author) / Wang, Shicheng (author) / Jiao, Wei (author)


    Publication date :

    2012


    Size :

    7 Seiten, 6 Bilder, 1 Tabelle, 12 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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