Wei Changzhu, Wang Ruiming, Zheng Wei, Pu Jialun
Harbin Institute of Technology, Harbin, China.
Shanghai Institute of Aerospace System Engineering, Shanghai, China.
Sci Prog. 2021 Apr-Jun;104(2):368504211010946. doi: 10.1177/00368504211010946.
A morphing aircraft can maintain optimal flight performance by adaptively changing shape. However, large deformation and fast motion of aircraft modules lead to complicated dynamics during morphing process. This paper proposes a mechanistic equivalent model with parameters identified by optimization method. Based on the dynamics of the aircraft modules with large deformation and fast motion and considering the coupling characteristics of rigid bodies and gimbal joints, an equivalent dynamic model of morphing aircraft is built in this study. Considering the huge amount of highly coupled parameters in the equivalent model, particle swarm optimization algorithm is used to identify the equivalent parameters based on the sample data of flexible model. By comparing the simulation results of proposed model to those of rigid model and flexible model, it can be seen that the accuracy of the proposed equivalent model is comparable to that of the flexible model, but the computational load is only 10% of that of flexible model. Further, based on this high-fidelity model with low computational load, an optimized morphing process is obtained, and the attitude variation during morphing is reduced by 4.23%.
变形飞机可以通过自适应改变形状来保持最佳飞行性能。然而，飞机模块的大变形和快速运动会导致变形过程中出现复杂的动力学问题。本文提出了一种通过优化方法识别参数的机械等效模型。基于具有大变形和快速运动的飞机模块的动力学，并考虑刚体和万向节的耦合特性，本研究建立了变形飞机的等效动力学模型。考虑到等效模型中大量高度耦合的参数，采用粒子群优化算法基于柔性模型的样本数据识别等效参数。通过将所提模型的仿真结果与刚体模型和柔性模型的仿真结果进行比较，可以看出所提等效模型的精度与柔性模型相当，但计算量仅为柔性模型的10%。此外，基于这种计算量低的高保真模型，获得了优化的变形过程，变形过程中的姿态变化减少了4.23%。
