Study of vertically ascending flight of a hawkmoth model

• 作 者: Anh Tuan Nguyen Vu Dan Thanh Le The Hung Tran V.N.Duc Van Binh Phung
• 机 构: Faculty of Aerospace Engineering,Le Quy Don Technical University,Hanoi,Vietnam;Institute of Theoreti
• 出 处: 力学学报（英文版）
• 发表日期: 2004年期
• 关键词: Hawkmoth Ascending flapping flight Genetic algorithm Artificial neural network F

This paper provides insight into the wing kinematics,the power requirement.and the dynamic stability characteristics of a hawkmoth model in vertically ascending flight.The wing kinematics of the hawkmoth model is obtained based on the minimum required power assumption.The optimization process is conducted using genetic and simplex algorithms that are coupled with an artificial neural network to rapidly predict the aerodynamic force and required power.The training data for the neural network are generated from an unsteady vortex-lattice method.Compared to hover,the results in this study show the larger flapping frequency and the smaller rotation amplitude of the hawkmoth wing kinematics in ascending flight.Additionally,more power is required when the ascending speed increases.While conducting a dynamic modal analysis based on a cycle-average approach,the certain effect of the ascending speed on the modal structures of the hawkmoth model was observed.