遗传算法在大型降落伞气动力参数辨识中的应用  

Application of Genetic Algorithms for Aerodynamic Parameter Estimation of Large Parachute

作　　者：王海涛[1] 郭叔伟[1] 郭鹏[1] 秦子增[1] 

机构地区：[1]国防科技大学航天与材料工程学院,长沙410073

出　　处：《宇航学报》2010年第4期981-985,共5页Journal of Astronautics

基　　金：国家载人航天资助项目

摘　　要：针对大型降落伞气动力参数辨识中观测值难以获取的特点,提出利用遗传算法和少量观测信息对降落伞全张满后运动形式稳定时气动参数进行辨识的方法并建立了相关模型。仿真结果表明,遗传算法适合此类问题的求解且精度较高。还针对某型号飞船降落伞回收系统的大型环帆伞进行气动力辨识,利用辨识参数值计算的观测值和录像分析的结果基本吻合,表明本文提出的研究方法可应用于实际工程问题。It is difficult to obtain the data through experimentation in the aerodynamic parameter estimation of large parachute.In order to solve this problem,a method through genetic algorithms and a few experimentation data to estimate the aerodynamic parameter of parachute is proposed,and the correlative model is established.The simulation result shows that genetic algorithms adapt to the solving of the problem and has high precision.The method also applied to the recovery system of the airship,the simulation result computed through the estimated parameters has a good coherence with the data analyzed through video,and this result shows the proposed research method can applied to solving the practical engineering problem.

关 键 词：遗传算法 大型降落伞 气动力参数辨识 侧向力系数 

分 类 号：V476.2[航空宇航科学与技术—飞行器设计]