基于CFD-PID方法的仿生鱼自推进运动研究  

Research on Self-Propelled Motion of Bionic Fish by CFD-PID Method

作　　者：王鹏飞[1] 李若欣 于凯 Wang Pengfei;Li Ruoxin;Yu Kai(Qingdao Innovation and Development Centre of Harbin Engineering University,Qingdao 266000,China;College of Shipbuilding Engineering,Harbin Engineering University,Harbin 15000,China)

机构地区：[1]哈尔滨工程大学青岛创新发展中心,青岛266400 [2]哈尔滨工程大学船舶工程学院,哈尔滨150000

出　　处：《水动力学研究与进展（A辑）》2024年第1期104-108,共5页Chinese Journal of Hydrodynamics

基　　金：国家自然科学基金(52301366)。

摘　　要：相较于传统的螺旋桨推进方式,水下仿生推进具有灵活、高效及对环境干扰小等优势。该文在求解不可压N-S方程和牛顿第二定律的基础上,嵌入PID控制算法,构建CFD-PID求解器,模拟主动控制下的仿生鱼自推进运动。通过PID算法动态调节仿生鱼摆幅,间接控制其速度,使仿生鱼可以达到任意特定的收敛速度。与常规方式自推进相比,PID控制自推进能更快地加速到预定速度,且在加速时期产生更大尺度的涡,最终的动态平衡状态则与常规方式自推进一致。Underwater bionic propulsion has several advantages over traditional propeller propulsion methods, such as flexibility,efficiency, and less environmental impact. In this paper, on the basis of solving the incompressible N-S equation and Newton's second law, the PID control algorithm is embedded, and the CFD-PID solver is constructed to simulate the self-propelled motion of the bionic fish under active control. The speed of the bionic fish is indirectly controlled by dynamically adjusting the foil amplitude through a PID controller, allowing it to achieve any specific convergence velocity. Compared with conventional self-propulsion,PID-controlled self-propulsion can accelerate to a predetermined velocity faster, generate larger-scale vortices during the acceleration period, and achieve a dynamic equilibrium state that is consistent with conventional self-propulsion.

关 键 词：仿生鱼 自推进 PID控制 BCF模式 

分 类 号：O35[理学—流体力学]