SSHS LAB

Research

Shock & Vibration Control

Space Structure

AI-based Smart System

Flapping Wing Air Vehicles

Hardware we have developed

a. Integrated Simulation for FW vehicles

Flapping Wing Air Vehicles

Research

Flapping Wing Air Vehicles

a. Integrated Simulation for FW vehicles

Principal Investigator: Jae-Hung Han
Participating Researcher : Hyeon-Ho Yang, Sang-Gil Lee, Yujeong Han
Related Projects: NRF-UVARC(한국연구재단-무인이동체원천기술개발사업단)

Related Recent Publication:

Nguyen, A. T., Han, J.-H. and Vu. T. T., “The Efects of Wing Mass Asymmetry on Low Speed Flight Characteristics of an Insect Model,” International Journal of Aeronautical and Space Sciences, Vol. 20, No. 4, pp.940-952, Dec. 2019.
Nguyen, A. T., Tran, N.D., Vu. T. T., Pham. T. D., Vu. Q. T. and Han, J.-H., “A Neural-network-based Approach to Study the Energy-optimal Hovering Wing Kinematics of a Bionic Hawkmoth Model,” Journal of Bionic Engineering, Vol. 16, No. 5, pp. 904-915, Sep. 2019.
Nguyen, A. T., and Han, J.-H., “Wing flexibility effects on the flight performance of an insect-like flapping-wing micro-air vehicle,” Aerospace Science and Technology, Vol. 79, pp. 468-481, Aug. 2018
Kim, J.-K., Han,J.-S., Lee, J.-S., Han, J.-H., “Hovering and forward flight of the hawkmoth Manduca sexta: trim search and 6-DOF dynamic stability characterization”, Bioinspiration & Biomimetics, Vol. 10, pp.20, Sept. 2015
Kim, J.-K., and Han, J.-H., “A multibody approach for 6-DOF flight dynamics and stability analysis of the hawkmoth Manduca sexta,” Bioinspiration & Biomimetics, Vol. 9, No. 1, 016011, 2014

Aerodynamics and dynamic flight stability of insect-like flapping-wing MAVs

1.Goals

Develop efficient and robust computational methods to simulate the unsteady aerodynamic characteristics of insect flapping wings. Establish an accurate wake pattern in the simulation environment

2. Approaches

Computational models based on the potential flow theory for the unsteady aerodynamics of insect flapping wings Multi-flexible body dynamics simulation

3. Recent Achievements

Aerodynamic modelling and wake pattern of insect-like FWMAVs

Modified discrete vortex method (MDVM): simulates the 2-D unsteady aerodynamics of insect flapping wings, including the viscous diffusion

Fig.1 Vorticity contours generated by a 2-D insect flapping wing model by MDVM

Fig2. Lift and drag by MDVM and CFD

Fig3. Wake pattern of insect wings by the extended UVLM

Fig4. Aerodynamic forces and moment of an insect wing by the extended UVLM and CFD

Aerodynamic modelling and wake pattern of bird-like FWMAVs

Modified discrete vortex method (MDVM): simulates the 2-D unsteady aerodynamics of bird flapping wings

Flight dynamics, stability, and control of insect-like flapping-wing MAVs

1.Goals

Develop effective control algorithms to stabilize highly non-linear flight dynamic characteristics of the ornithopters, and to enhance their controllability

2. Approaches

Modal-based flexible multi-body dynamics Semi-empirical flapping-wing aerodynamic model

3. Recent Achievements

Integrative Ornithopter Flight/Control Simulation Framework

Ornithopter flight dynamics simulation framework for the preliminary design process
Fluid-structure interaction (FSI) of flapping wings
Experimentally verified reduced-order flapping-wing aerodynamic model (Modified Strip Theory, MST)
Flight controller evaluation through a flight control module

Fig5. Eigenvalues of longitudinal and lateral dynamics of insect flight at different speeds

Effect of Lateral Gust Simulation

Free Foward Flight Simulation

Free Hovering Flight Simulation

6-DOF insect flight dynamics analysis

Model insect: Hawkmoth Manduca sexta
Wing flexibility and its fluid-structure interaction (FSI) are taken into account
Flight stability characteristics and efficient control strategies (on-going)

Trimmed flight conditions: found by the trim search algorithm, coupling the extended UVLM with the multibody dynamics code in the simulation environment of MSC. Adams