Optimal design of launch vehicles is a complex problem which requires the use of specific techniques called Multidisciplinary Design Optimization (MDO) methods. MDO methodologies are applied in various domains and are an interesting strategy to solve such an optimization problem. This paper surveys the different MDO methods and their applications to launch vehicle design. The paper is focused on the analysis of the launch vehicle design problem and brings out the advantages and the drawbacks of the main MDO methods in this specific problem. Some characteristics such as the robustness, the calculation costs, the flexibility, the convergence speed or the implementation difficulty are considered in order to determine the methods which are the most appropriate in the launch vehicle design framework. From this analysis, several ways of improvement of the MDO methods are proposed to take into account the specificities of the launch vehicle design problem in order to improve the efficiency of the optimization process.

/pdf/a-survey-of-multidisciplinary-design-optimization-methods-in-411m3rk1xp.pdf

A survey of multidisciplinary design optimization methods in launch vehicle design

Latin hypercube sampling applied to reliability-based multidisciplinary design optimization of a launch vehicle

Review of improved Monte Carlo methods in uncertainty-based design optimization for aerospace vehicles

Robustness and reliability of the designed trajectory are crucial for flight performance of launch vehicles. In this paper, robust trajectory design optimization of a typical LV is proposed. Two fo...

Robust ascent trajectory design and optimization of a typical launch vehicle

在多重挑战性的技术和它的设计和优化的十字路口的卫星发射车辆谎言举多学科的设计和优化(MDO ) 过程的一个典型例子。问题的复杂性要求能优化设计的高度有效、有效的算法。亢奋的启发式的途径(HHA ) 基于元启发规则被用于空气的优化发射卫星发射车辆(ASLV ) 。一个非学习的随机的函数(NLRF ) 被建议控制增加全球答案的必然的低级元启发规则(LLMH ) ，在产品要求的必要成分太空系统的概念的设计阶段。全面实验学习被执行在流行非坡度上评估建议途径的表演优点基于的优化方法。ASLV 的设计包含模块由多学科的可行设计途径连接了的气体动力学，推进，结构，阶段布局，集体分发，和轨道。这条途径提出明确的系统级的目标然后在完全上把设计优化过程提交给优化器。为发射车辆系统设计的这条特殊途径从乏味的、反复的任务减轻工程师并且使他们能改进他们的部件水平模型。质量是车辆性能和费用上的一个动力，它因此被看作车辆设计过程的核心。因此，粗野发射质量将在 HHA 被最小化。

Hyper Heuristic Approach for Design and Optimization of Satellite Launch Vehicle

Design of launch vehicles is highly complex undertaking and it involves a number of integrated disciplines and relatively a large number of design variables, so there is need of specialized state-of-the-art design tools to control overall design process and optimize the performance of vehicle itself. In this paper we propose an integrated system design approach for multidisciplinary conceptual design and optimization of multistage Air Launched Space Launch Vehicle comprising of three-stage solid propulsion system. The vehicle performance modeling requires that analysis from four separate disciplines be integrated into the design optimization process. The disciplines of propulsion characteristics, aerodynamics, mass properties, and flight dynamics have been integrated to produce a high-fidelity system model of the entire vehicle. Genetic algorithms have been chosen as optimizer because of their robustness and their efficient capacity to explore the design space. The objective is to develop an integrated system design approach that can more efficiently (less computational time) and effectively (solution quality) facilitate integrated design analysis and optimization for Air Launched Space Launch Vehicle at conceptual design level under certain mission and flight constraints. The mission of the ASLV is to deliver a small satellite of 200kg to Low Earth Orbit with minimum possible Gross Launch Mass. The proposed design approach is meant for initial design sizing purposes but gives a quick insight on the vehicle performance prior to detailed design with minimum basic vehicle data.

http://enu.kz/repository/2009/AIAA-2009-5506.pdf

Integrated System Design of Air Launched Small Space Launch Vehicle using Genetic Algorithm

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Integrated System Design of Air Launched Small Space Launch Vehicle using Genetic Algorithm