基于遗传算法的大型降落伞气动力参数辨识
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Aerodynamic Parameter Estimation of Large Parachute Based onGenetic Algorithm
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    摘要:

    建立了降落伞回收系统的六自由度动力学及运动模型,针对大型降落伞可观测数据少的特点,设计遗传算法辨识其气动力参数,利用仿真验证了辨识方法的可行性和辨识模型的正确性。结合空投试验录像分析数据,辨识了某型号飞船所采用大型环帆伞的气动力参数,并利用辨识结果对其稳定性进行分析,其结论可作为回收系统设计的理论参考依据。

    Abstract:

    The six degrees of freedom dynamic and motion models of the parachute recovery system were built. In order to solve the problem caused by the lack of measurable experiment data, the genetic algorithm was designed to estimate the aerodynamic parameters of the parachute. Simulation result validates the feasibility of the estimation method and the validity of the estimation model. The aerodynamic parameters of a large ringsail parachute applied to manned spacecraft were estimated through the genetic algorithm and the analysis data from the videos of airdrop test. Furthermore, the stability of the ringsail parachute was analyzed through the estimation results. The conclusion can provide theoretical reference for the design of recovery system.

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王海涛,秦子增.基于遗传算法的大型降落伞气动力参数辨识[J].国防科技大学学报,2010,32(1):28-33.

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  • 收稿日期:2009-06-02
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  • 在线发布日期: 2012-09-19
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