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Multi-objective reentry trajectory optimization method via GVD for hypersonic vehicles 被引量:1

Multi-objective reentry trajectory optimization method via GVD for hypersonic vehicles
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摘要 In the constrained reentry trajectory design of hypersonic vehicles, multiple objectives with priorities bring about more difficulties to find the optimal solution. Therefore, a multi-objective reentry trajectory optimization (MORTO) approach via generalized varying domain (GVD) is proposed. Using the direct collocation approach, the trajectory optimization problem involving multiple objectives is discretized into a nonlinear multi-objective programming with priorities. In terms of fuzzy sets, the objectives are fuzzified into three types of fuzzy goals, and their constant tolerances are substituted by the varying domains. According to the principle that the objective with higher priority has higher satisfactory degree, the priority requirement is modeled as the order constraints of the varying domains. The corresponding two-side, single-side, and hybrid-side varying domain models are formulated for three fuzzy relations respectively. By regulating the parameter, the optimal reentry trajectory satisfying priorities can be achieved. Moreover, the performance about the parameter is analyzed, and the algorithm to find its specific value for maximum priority difference is proposed. The simulations demonstrate the effectiveness of the proposed method for hypersonic vehicles, and the comparisons with the traditional methods and sensitivity analysis are presented. In the constrained reentry trajectory design of hypersonic vehicles, multiple objectives with priorities bring about more difficulties to find the optimal solution. Therefore, a multi-objective reentry trajectory optimization (MORTO) approach via generalized varying domain (GVD) is proposed. Using the direct collocation approach, the trajectory optimization problem involving multiple objectives is discretized into a nonlinear multi-objective programming with priorities. In terms of fuzzy sets, the objectives are fuzzified into three types of fuzzy goals, and their constant tolerances are substituted by the varying domains. According to the principle that the objective with higher priority has higher satisfactory degree, the priority requirement is modeled as the order constraints of the varying domains. The corresponding two-side, single-side, and hybrid-side varying domain models are formulated for three fuzzy relations respectively. By regulating the parameter, the optimal reentry trajectory satisfying priorities can be achieved. Moreover, the performance about the parameter is analyzed, and the algorithm to find its specific value for maximum priority difference is proposed. The simulations demonstrate the effectiveness of the proposed method for hypersonic vehicles, and the comparisons with the traditional methods and sensitivity analysis are presented.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2017年第4期732-744,共13页 系统工程与电子技术(英文版)
基金 supported by the Natural Science Foundation of Tianjin(12JCZDJC30300) the Research Foundation of Tianjin Key Laboratory of Process Measurement and Control(TKLPMC-201613) the State Scholarship Fund of China
关键词 hypersonic vehicle reentry trajectory design multi-objective optimization generalized varying domain direct collocation method hypersonic vehicle reentry trajectory design multi-objective optimization generalized varying domain direct collocation method
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  • 1雍恩米,唐国金,陈磊.助推—滑翔式导弹中段弹道方案的初步分析[J].国防科技大学学报,2006,28(6):6-10. 被引量:23
  • 2李瑜,杨志红,崔乃刚.助推-滑翔导弹弹道优化研究[J].宇航学报,2008,29(1):66-71. 被引量:39
  • 3王允良,李为吉.物理规划方法及其在飞机方案设计中的应用[J].航空学报,2005,26(5):562-566. 被引量:14
  • 4周浩,周韬,陈万春,殷兴良.高超声速滑翔飞行器引入段弹道优化[J].宇航学报,2006,27(5):970-973. 被引量:21
  • 5赵汉元.飞行器再入动力学和制导[M].长沙:国防科技大学出版社,1997..
  • 6安德雷耶夫斯基BB.宇宙飞行器降落地球动力学.北京:国防工业出版社.1975
  • 7Albert L, Bruce A. Direct Optimization Using Collocation Based on High-Order Gauss-Lobatto Quadrature Rules.Journal of Guidance, Control, and Dynamics, 1996, 19 (3) : 592-599
  • 8David G. Conversion of Optimal Control Problems into Parameter Optimization Problems. Journal of Guidance,Control, and Dynamics, 1997, 20(1):57-60
  • 9Hargraves C R. Direct Trajectory Optimization Using Nonlinear Programming and Collocation. Journal of Guidance,Control, and Dynamics, 1987, 10 (4):338-342
  • 10Paul J, Bruce A, et al. Optimal Spacecraft Trajectories Using Collocation and Nonlinear Programming. Journal of Guidance, Control, and Dynamics, 1991, 14(5) : 981- 985

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