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二级多点近似方法在整星结构优化设计中的应用
Application of two-level multipoint approximation method in optimal design of whole satellite structure
投稿时间:2022-03-02  修订日期:2022-03-27
DOI:
中文关键词:  混合变量  二级多点近似  有限元模型  振动试验  一体化优化  
英文关键词:Mixed variable  Multi-point approximation f  Finite element  Vibration test  Integrated optimization
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位邮编
刘拴军 北京航空航天大学 100191
黄海 北京航空航天大学 100191
赵旭瑞 北京航空航天大学 
闫振铎 北京航空航天大学 
刘宇 北京航空航天大学 
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中文摘要:
      以整星结构为研究对象,针对含有离散变量的混合变量优化问题应用二级多点近似方法给出从卫星拓扑布局设计到尺寸的一体化优化求解过程。首先,对整星结构进行仿真、振动试验,设计满足总体指标要求且已得到在轨验证。其次,建立以极小化卫星质量为目标的多工况优化模型后利用分段多点逼近函数建立了显式近似问题。最后,采用遗传算法和拟牛顿法(BFGS)分别对离散/连续两类变量寻优,并以拓扑构型一致性和目标函数的下降程度作为收敛的判定依据。结果为:在满足频率、静力的约束下,卫星质量降低了7.9%且结构分析迭代次数仅为50~60次,从而验证了该方法在求解整星结构多变量多工况下的一体化设计问题时具有很高的计算效率和准确性。
英文摘要:
      Taking the whole satellite structure as the research object, the integrated optimization process from topological layout design to satellite size is presented by using the two-level multipoint approximation method for the mixed variable optimization problem with discrete variables. Firstly, simulation and vibration test of the whole satellite structure are carried out. The design meet the requirements of the general specification and has been verified in orbit. Secondly, an explicit approximation problem is established by using piecewise multipoint approximation function after describing a multi-conditions optimization model aiming at minimizing satellite mass. Finally, genetic algorithm and Quasi-Newton method (BFGS) are used to optimize the discrete and continuous variables respectively, and the convergence is judged by the consistency of topology configuration and the decreasing degree of objective function. The results are as follows: under the constraints of frequency and static force, the satellite mass is reduced by 7.9% and the number of structural analysis iterations is only 50~60, which verifies that this method has high computational efficiency and accuracy in solving the integrated optimization design problem of the whole satellite structure under multiple variables and working conditions.
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