Abstract: Incremental nonlinear dynamic inversion shows good robustness and low dependence on the model information. In this study, incremental nonlinear dynamic inversion is improved and utilized to solve the six-degrees-of-freedom ...

Abstract: This paper focused on the aerodynamic optimization and noise reduction of a two-stage series compact fan. The space constraints of compact fans limit the design space, which poses several challenges to aerodynamic and noise ...

Abstract: In this paper, a neural network guidance based on sample dimension reduction is proposed for a reusable launch vehicle. Different from previous works, the training samples of neural networks use Pearson correlation matrix ...

Abstract: Casing treatment design and application typically focus on improving stall margin while minimizing efficiency penalty for tip-loaded rotors. When successful casing treatment configurations are found, it often is assumed ...