Abstract:Compared with traditional propeller propulsion, bionic propulsion has the advantages of flexibility, high efficiency, and low environmental interference for underwater motion. The movement of fish schools can provide many biological advantages to individual fish, including increased food supply and reduced risk of predators. Similarly, individual fish in a bionic school can also benefit from significant improvements in speed and efficiency. In a tandem arranged bionic school, the rear fish can benefit from active body oscillation control from the wake field of the front fish. Based on the solution of the incompressible Navier-Stokes equations and Newton's second law, this paper embeds a PID control algorithm to construct a CFD-PID solver that can simulate the self-propelled movement of a bionic fish school through active body oscillation control in a tandem arranged configuration. By dynamically adjusting the oscillation angle indirectly to control the speed through PID, suitable control parameters are sought to achieve the process of the rear fish in the bionic fish school moving from rest to a stable speed, while analyzing the vorticity field and the speed changes of the bionic fish school. The research results show that, with the use of PID control, the appropriate control parameters can enable any bionic fish in the school to more accurately and quickly reach the converged speed.
