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1. 北京航天长征飞行器研究所,北京,100076
2. 西安交通大学复杂服役环境重大装备结构强度与寿命全国重点实验室,西安,710049
3. 西安交通大学陕西省先进飞行器服役环境与控制重点实验室,西安,710049
Published:2024
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DONG Chao, PAN Xin, JIANG Lulu, et al. Aerodynamic Control Coupling Optimization Design Method for High-Speed Vehicles[J]. 2024, 58(8): 196-204.
DONG Chao, PAN Xin, JIANG Lulu, et al. Aerodynamic Control Coupling Optimization Design Method for High-Speed Vehicles[J]. 2024, 58(8): 196-204. DOI: 10.7652/xjtuxb202408020.
针对传统串行设计过程由于空气动力学和控制系统数学模型复杂、无法综合考虑气动和控制的多目标优化的问题
提出了一种面向高速飞行器气动控制耦合优化设计方法。基于气动单学科代理优化(SBO)算法
将飞行器主动控制技术(ACT)的思想与多学科优化方法(MDO)相结合
构建了高速飞行器气动控制耦合多目标优化流程架构。在2马赫来流条件下
对带有控制舵的双锥体外形开展了气动耦合优化设计研究
以提升飞行器的气动性能和控制能力为优化目标。结果表明:经过气动控制耦合优化后的最优模型在超声速环境下
升力系数和升阻比分别提升了0.401%、2.999%
同时超调量与控制增益分别降低了2.769%、0.655%
气动性能和控制能力得到提升
验证了耦合策略的可行性; 气动控制耦合优化的最优模型不仅使飞行器在超声速工作环境下性能更卓越
还有助于降低后续控制系统的设计难度
提高飞行器设计效率。所提气动控制耦合优化设计方法为高速飞行器的先进设计提供了必要的技术支撑。
Due to the complexity of the mathematical models of aerodynamics and control
it is a challenge inherent in the traditional serial design process to fully account for their multi-objective optimization. To address the challenge
a method for aerodynamic control coupling optimization tailored to high-speed vehicles is proposed. Leveraging the surrogate-based optimization(SBO)algorithm
this approach integrates the principles of active control technology(ACT)with multidisciplinary design optimization(MDO)techniques to establish an aerodynamic control coupling multi-objective optimization process for high-speed vehicles. Under Mach 2 flow conditions
aerodynamic control coupling optimization studies are conducted on a double-cone model equipped with control surfaces to enhance the aerodynamic performance and control capability of the vehicles. The results reveal that after aerodynamic control coupling optimization
the optimal model demonstrates a 0.401% increase in lift coefficient and a 2.999% improvement in lift-to-drag ratio in the supersonic environment. Additionally
there is a reduction of 2.769% in overshoot and 0.655% in control gain. These enhancements in aerodynamic performance and control capability affirm the viability of the coupling strategy. Furthermore
the optimal model streamlines subsequent control system design
thereby enhancing overall vehicle design efficiency. The aerodynamic/control coupling optimization design method proposed in this paper serves as crucial technical support for the advanced design of high-speed vehicles.
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