摘要
Feedback flow information is of significance to enable underwater locomotion controllers with higher adaptability and efficiency within varying environments. Inspired from fish sensing their external flow via near-body pressure, a computational scheme is proposed and developed in this paper. In conjunction with the scheme, Computational Fluid Dynamics （CFD） is employed to study the bio-inspired fish swimming hydrodynamics. The spatial distribution and temporal variation of the near-body pressure of fish are studied over the whole computational domain. Furthermore, a filtering algorithm is designed and implemented to fuse near-body pressure of one or multiple points for the estimation on the external flow. The simulation results demonstrate that the proposed computational scheme and its corresponding algorithm are both effective to predict the inlet flow velocity by using near-body pressure at distributed spatial points.
Feedback flow information is of significance to enable underwater locomotion controllers with higher adaptability and efficiency within varying environments. Inspired from fish sensing their external flow via near-body pressure, a computational scheme is proposed and developed in this paper. In conjunction with the scheme, Computational Fluid Dynamics （CFD） is employed to study the bio-inspired fish swimming hydrodynamics. The spatial distribution and temporal variation of the near-body pressure of fish are studied over the whole computational domain. Furthermore, a filtering algorithm is designed and implemented to fuse near-body pressure of one or multiple points for the estimation on the external flow. The simulation results demonstrate that the proposed computational scheme and its corresponding algorithm are both effective to predict the inlet flow velocity by using near-body pressure at distributed spatial points.
基金
This work was supported in part by the National Science Foundation of China under Grant nos. 61005077, 51105365 and 61273347, in part by Research Fund for the Doctoral Programme of Higher Education of China under Grant no. 20124307110002, and in part by the Foundation for the Author of Excellent Doctoral Dissertation of HunanProvince under Grant no. YB2011B0001. The authors would like to thank Daibing Zhang for his sincere guidance and constructive comments. The corresponding author （Tianjiang hu） would like to thank Dr. Xue-feng Yuan of University of Manchester, UK for the collaboration during Dr. Hu＇s academic visit from February 2013 to August 2013 in Manchester Institute of Biotechnology.
