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The motion control of the robotic fish is the basis for the promotion and application of the robotic fish. However, the drive of the carangiform robotic fish generally uses fish body wave data, and rarely uses real fish swimming data. In order to deeply explore the motion control method of the trevally-like robotic fish, adopting the computational fluid dynamics method, and uses Fluent software to model by calibrating the fluid medium, inflow velocity, fish geometry and other measures. Then, the simulation and experiment of the robotic fish are carried out according to two different propulsion data, the fish body wave data and the real tuna swimming sampling data. The simulation show that for the multi-joint robotic fish drive, compared with the propulsion data generated by the common fish body wave, the real tuna swimming sampling data is more effective when the torso swings with a large value. This simulation and experiment comparison provides a new idea for the efficient motion control of the carangiform robotic fish.