Multidisciplinary design optimization of a wide speed range vehicle with waveride airframe and RBCC engine

被引:56
作者
Zhang, Tiantian [1 ,2 ]
Yan, Xiaoting [2 ]
Huang, Wei [2 ]
Che, Xueke [1 ]
Wang, Zhenguo [2 ]
机构
[1] Space Engn Univ, Coll Aerosp Sci & Technol, Beijing 101400, Peoples R China
[2] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
MDO; BLSIO; Wide speed range; Optimization; Aircraft design; FRAMEWORK;
D O I
10.1016/j.energy.2021.121386
中图分类号
O414.1 [热力学];
学科分类号
摘要
The wide speed range vehicle is believed to be ideal for space round trip and its design process in-corporates a number of disciplines. To achieve an overall optimal design, we adopt the multidisciplinary design optimization (MDO) approach to design the wide speed range vehicle with waverider being the airframe and the rocket-based combine cycle (RBCC) engine being the propulsion system. The design process includes the modeling of each discipline, the MDO system integration and the operation of the MDO system. Disciplines integrated in the MDO architecture includes the geometry, the aerodynamics, the propulsion, the structural mass and the trajectory. The modeling processes of these disciplines are introduced in brief in this paper and some of them are novel in the relevant area. The Bi-level system integrated optimization (BLSIO) approach is proposed as the MDO strategy, which optimize the trajectory discipline using the state variables of the other disciplines in each iteration process. With an aircraft climb mission being the optimize background, the MDO process is applied successfully and the optimal design obtained by the MDO process reduced the minimum climb time by 10.02% in comparison with the reference model. The analysis shows that the reduce of the minimum climb time is mainly realized by optimizing the configuration of the vehicle and adapting the attack angle in the climb process. The optimal configuration has larger lift-to-drag ratio but fewer fuel remaining after the mission than the reference model. This concludes that although the optimized model is not superior to the reference model in all aspects, it has an overall performance within the design space. Also, the BLSIO approach is ideal in solving the MDO problem of the wide speed range mission. (c) 2021 Elsevier Ltd. All rights reserved.
引用
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页数:14
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