升力体式浮升混合飞艇多学科设计优化

Lift-type hybrid airship is an important choice of long-distance and large-load transportation. With the development of global trade, it has gradually become a research hotspot at home and abroad. As a new concept aircraft combining aeronautical science and technology, new energy technology and high-performance material technology, multiple disciplines should be considered and optimized in the design process of hybrid airship comprehensively. To introduce the Multidisciplinary Design Optimization (MDO) method into the conceptual design of hybrid airship, it is decomposed into energy subsystem, aerodynamic and propulsion subsystem, and structure and weight subsystem. On the basis of building subsystem model, a Concurrent Subsystem Optimization algorithm based on Response Surface (CSSO-RS) with the self-adaptive ability is put forward. The weight balance and energy balance are set as the constraints to achieve long-distance transportation. Meanwhile, a multi-stage task profile with climb, day cruise, gliding and night cruise is proposed to make full use of solar energy battery, fuel cell and lithium batteries and realize the optimal design of hybrid airship. The optimization results show that the adaptive optimization algorithm has obvious advantages in accuracy and computational efficiency, and the weight distribution results also put forward higher requirements for lightweight design and energy system design of hybrid airships.