Flight midcourse guidance control based on genetic algorithm

Authors:
Zhao-hua Yang;Jian-cheng Fang;Zhen-qiang Qi
Affiliations:
Beijing University of Aeronautics and Astronautics;Beijing University of Aeronautics and Astronautics;Beijing Aerospace Automatic Control Institute
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

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Abstract

An advanced flight midcourse guidance law based on genetic algorithm (GA) is proposed. The proposed midcourse guidance formulation minimizes the flight time and maximizes the terminal energy subject to a terminal intercept condition. GA is used to search the optimal attack angle for the flight trajectory. By combining GA and singular perturbation technique (SPT), the optimal flight guidance law is obtained consequently. SPT is applied to approximate the terminal flight time. Meanwhile, the paper completely eliminates the need for solving two-point boundary-value problems (TBPVP), which is too complex for derivation and implementation. The simulation results show that the resulting guidance law is near-optimal and the proposed method is valid. Especially, the GA guidance law can apply to intercept the maneuver targets successfully.