基于数字孪生的航天器舱门展收机构优化设计
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摘要
针对航天器舱门展收过程中由根铰间隙引起的振动问题,提出一种基于数字孪生和径向基模型的材料参数优化方法。首先建立根铰间隙动力学模型,并应用数字孪生技术构建舱门的数字孪生模型。以根铰材料的接触刚度系数、阻尼系数和动摩擦系数为设计变量,以最大角加速度为优化目标,利用优化拉丁方试验设计构建样本空间;应用径向基神经网络模型构建近似模型;采用结合的序列二次规划算法和多岛遗传算法求解近似模型的最优值。优化结果表明,与优化前相比,舱门的角加速度峰值和根铰间隙接触力明显减小,舱门的动态性能得到提升。
To improve vibration caused by clearance of root-joints during the process of the spacecraft hatch deployment,a material parameters optimization method using digital twin and Radial Basis Functions(RBF)model was proposed.The dynamic model of clearance was established,and then the digital twin model of hatch was constructed by using digital twin technology.The contact stiffness coefficient,damping coefficient and dynamic friction coefficient of the root-joints'material were taken as the design variables,and the maximum angular acceleration as the optimization objective to build the sample space with the optimal Latin hypercube experiment design.The approximate model was constructed based on radial basis function neural network model.The combined Sequential Quadratic Programming Algorithm(SQP)and Multi-Island Genetic Algorithm(MIGA)was applied to calculate the optimal design.The optimization results indicated that the peak angular acceleration of hatch and the contact force of rootjoints were significantly reduced compared to original,and the dynamic performance of the hatch was improved.
To improve vibration caused by clearance of root-joints during the process of the spacecraft hatch deployment,a material parameters optimization method using digital twin and Radial Basis Functions(RBF)model was proposed.The dynamic model of clearance was established,and then the digital twin model of hatch was constructed by using digital twin technology.The contact stiffness coefficient,damping coefficient and dynamic friction coefficient of the root-joints'material were taken as the design variables,and the maximum angular acceleration as the optimization objective to build the sample space with the optimal Latin hypercube experiment design.The approximate model was constructed based on radial basis function neural network model.The combined Sequential Quadratic Programming Algorithm(SQP)and Multi-Island Genetic Algorithm(MIGA)was applied to calculate the optimal design.The optimization results indicated that the peak angular acceleration of hatch and the contact force of rootjoints were significantly reduced compared to original,and the dynamic performance of the hatch was improved.
引文
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[2]YANG Shuli,LIU Zhiquan,PU Hailing,et al.Dynamic analysis of spatial deployable strut-mechanism with clearance rootJoints[J].Journal of Astronautics,2018,39(8):838-846(in Chinese).[杨淑利,刘志全,濮海玲,等.考虑根铰间隙的空间框架展收机构动力学分析[J].宇航学报,2018,39(8):838-846.]
[3]LI J,HUANG H,YAN S,et al.Kinematic accuracy and dynamic performance of a simple planar space deployable mechanism with joint clearance considering parameter uncertainty[J].Acta Astronautica,2017,136:34-45.
[4]BAI Zhengfeng,ZHAO Yang,ZHAO Zhigang.Dynamic characteristics of mechanisms with joint clearance[J].Journal of Vibration and Shock,2011,30(11):17-20(in Chinese).[白争锋,赵阳,赵志刚.考虑运动副间隙的机构动态特性研究[J].振动与冲击,2011,30(11):17-20.]
[5]MUKRAS S,KIM N H,SAWYER W G,et al.Numerical integration schemes and parallel computation for wear prediction using finite element method[J].Wear,2009,266(7/8):822-831.
[6]MUVENGEI O,IKUA B.Dynamic analysis of planar multibody systems with LuGre friction at differently located revolute clearance joints[J].Multibody System Dynamics,2012,28(4):369-393.
[7]BAI Z F,ZHAO J J,CHEN J,et al.Design optimization of dual-axis driving mechanism for satellite antenna with two planar revolute clearance joints[J].Acta Astronautica,2017,144:80-89.
[8]WANG Yue,LIU Hong,PENG Bo,et al.Studies on capture field of latch mechanism of new spacecraft door based on rigidflexible coupling[J].Journal of Northwestern Polytechnical University,2016,34(5):907-914(in Chinese).[王悦,刘宏,彭波,等.基于刚柔耦合的新型航天飞行器舱门锁紧机构捕获域研究[J].西北工业大学学报,2016,34(5):907-914.]
[9]LOHTANDER M,AHONEN N,LANZ M,et al.Micro manufacturing unit and the corresponding 3D-Model for the digital twin[J].Procedia Manufacturing,2018,25:55-61.
[10]YU Yong,FAN Shengting,PENG Guanwei,et al.Study on application of digital twin model in product confguration management[J].Aeronautical Manufacturing Technology,2017,60(7):41-45(in Chinese).[于勇,范胜廷,彭关伟,等.数字孪生模型在产品构型管理中应用探讨[J].航空制造技术,2017,60(7):41-45.]
[11]ZHAUNG Cunbo,LIU Jianhua,XIONG Hui,et al.Connection,architecture and treds of product digital twin[J].Computer Integrated Manufacturing Systems,2017,23(4):753-768(in Chinese).[庄存波,刘检华,熊辉,等.产品数字孪生体的内涵、体系结构及其发展趋势[J].计算机集成制造系统,2017,23(4):753-768.]
[12]XIANG F,ZHI Z,JIANG G Z.Digital twins technolgy and its data fusion in iron and steel product life cycle[C]//Proceedings of the 15th International Conference on Networking,Sensing and Control(ICNSC).Washington,D.C.,USA:IEEE,2018:1-5.
[13]SCHLEICH B,ANWER N,MATHIEU L,et al.Shaping the digital twin for design and production engineering[J].CIRP Annals,2017,66(1):141-144.
[14]LI Hao,TAO Fei,WEN Xiaoyu,et al.Modular design of product-service systems oriented to mass personalization[J].China Mechanical Engineering,2018,29(18):2204-2214,2249(in Chinese).[李浩,陶飞,文笑雨,等.面向大规模个性化的产品服务系统模块化设计[J].中国机械工程,2018,29(18):2204-2214,2249.]
[15]LI Hao,JI Yangjian,CHEN Liang,JIAO Jianxin.Bi-level coordinated configuration optimization for product-service system modular design[J].IEEE Transactions on Systems,Man,and Cybernetics:Systems.2017,47(3):537-554.
[16]SODERBERG R,WARMEFJORD K,CARLSON J S,et al.Toward a digital twin for real-time geometry assurance in individualized production[J].CIRP Annals,2017,66(1):137-140.
[17]DAI Sheng,ZHAO Gang,YU Yong,et al.Trend of digital product definition:from mock-up to twin[J].Journal of Computer-Aided Design&Computer Graphics,2018,30(8):1554-1562(in Chinese).[戴晟,赵罡,于勇,等.数字化产品定义发展趋势:从样机到孪生[J].计算机辅助设计与图形学学报,2018,30(8):1554-1562.]
[18]TAO Fei,LIU Weiran,LIU Jianhua,et al.Digital twin and its potentianl application exploration[J].Computer Integrated Manufacturing Systems,2018,24(1):1-18(in Chinese).[陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J].计算机集成制造系统,2018,24(1):1-18.]
[19]CHEN X Y,GUAN T Y.Research on the predicting model of convenience store model based on digital twins[C]//Proceedings of the 2018International Conference on Smart Grid and Electrical Automation(ICSGEA).Washington,D.C.,USA:IEEE,2018:224-226.
[20]SELCUK E,IBRAHIM U.Modeling and simulation of joint clearance effects on mechanisms having rigid and flexible links[J].Journal of Mechanical Science&Technology,2014,28(8):2979-2986.
[21]LI J,HUANG H,YAN S,et al.Kinematic accuracy and dynamic performance of a simple planar space deployable mechanism with joint clearance considering parameter uncertainty[J].Acta Astronautica,2017,136:34-45.
[22]MUVENGEI O,KIHIU J,IKUA B.Dynamic analysis of planar rigid-body mechanical systems with two-clearance revolute joints[J].Nonlinear Dynamics,2013,73(1/2):259-273.
[23]WANF Wenjie,YUAN Shouqi,PEI Ji,et al.Two-point hydraulic optimization of pump impeller based on kriging model and neighborhood cultivation genetic algorithms[J].Journal of Mechanical Engineering,2015,51(15):33-38(in Chinese).[王文杰,袁寿其,裴吉,等.基于Kriging模型和遗传算法的泵叶轮两工况水力优化设计[J].机械工程学报,2015,51(15):33-38.]
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