Robust optimal trajectory design by integrating genetic algorithm with min-max method |
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Authors: | Jianmei Song Xianxiang Chen Zhiyong Liu and Jing Zhang |
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Affiliation: | (1) Department of Aerospace Engineering, Indian Institute of Technology, Kanpur, 208016, U.P., India |
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Abstract: | A robust optimal trajectory design method is proposed in this paper. Genetic Algorithm (GA) is employed to optimize the whole
trajectory to improve the terminal attack performance. To enhance the robustness of the trajectory to disturbances, the min-max
method is integrated into the GA optimization process. The proposed approach is carefully illustrated with the robust optimization
design of the trajectory for a portable short-range top-attack (PSRTA) missile. The H
∞ robust gain-scheduled technique is used to design the attitude tracking autopilot to facilitate the trajectory design. The
damp feedback loop of the weakly-damped missile body is innovatively treated as the Linear Parameter Varying system (the controlled
plant), which is good for practical use. The proposed robust optimal trajectory design method and the H
∞ robust gain-scheduled attitude tracking autopilot are demonstrated to be effective from the whole trajectory simulation results
of the PSRTA missile, which also exhibit high applicability for practical engineering problems. |
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Keywords: | |
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