捆绑火箭超静定连接结构参数化建模与优化
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摘要
与普通捆绑火箭相比,采用超静定捆绑连接结构的火箭质量会偏大,且其动特性和连杆所受载荷都会有较大变化。建立火箭有限元梁模型时,利用CBEAM单元和CROD单元之间自由度的不匹配关系模拟连杆端点处的铰接效果。利用PCL语言建立捆绑火箭的参数化模型,并结合遗传算法,以连杆总质量最轻为目标,对火箭超静定连接结构进行了优化设计。优化模型连接结构总质量明显减少,同时火箭动特性不发生明显变化,连杆内力得到一定程度改善,为火箭连接结构设计能够提供一定参考。
Dynamic characteristics of strap-on launch vehicle and internal force on the connecting rod change a lot when using statically indeterminate structures to connect the core body and roll booster assistors in a launch vehicle. A beam model of the launch vehicle was established and the hinge joints at the end of the connecting rods were simulated by using the mismatching relationship between the CBEAM element and CROD element. A parameterized model of launch vehicle was established using PCL, a useful and convenient programming language. To minimize the mass of the statically indeterminate structures, the connecting structures were optimized with Genetic Algorithm(GA). Comparing with that before optimization, the mass of the connecting structures reduced obviously, while the dynamic characteristics varied insignificantly. The modeling method and conclusion may provide reference for the design of connecting structures.
Dynamic characteristics of strap-on launch vehicle and internal force on the connecting rod change a lot when using statically indeterminate structures to connect the core body and roll booster assistors in a launch vehicle. A beam model of the launch vehicle was established and the hinge joints at the end of the connecting rods were simulated by using the mismatching relationship between the CBEAM element and CROD element. A parameterized model of launch vehicle was established using PCL, a useful and convenient programming language. To minimize the mass of the statically indeterminate structures, the connecting structures were optimized with Genetic Algorithm(GA). Comparing with that before optimization, the mass of the connecting structures reduced obviously, while the dynamic characteristics varied insignificantly. The modeling method and conclusion may provide reference for the design of connecting structures.
引文
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[8] 刘翔春,廖瑛,文援兰.应用改进遗传算法优化天基光学监视平台轨道[J].国防科技大学学报,2014,36(3):58-62.Liu X C,Liao Y,Wen Y L.Applying the improved genetic algorithm to optimize the orbit for space-based optics surveillance platform[J].Journal of National University of Defense Technology,2014,36(3):58-62.(in Chinese)
[9] 宋春生,于传超,张锦光,等.基于遗传算法的复杂双层磁悬浮精密隔振系统LQR控制研究[J].振动与冲击,2016,35(16):99-105.Song C S,Yu C C,Zhang J G,et al.LQR Control of a Complex Two-stage Magnetic Suspension Active Precise Isolation System based on Genetic Algorithm[M].Journal of Vibration and Shock,2016,35(16):99-105.(in Chinese)