In view of the problem that the current cutter suction dredger dredging operation cannot rely on manual operation to maintain the high yield,this paper studies the control parameters affecting the yield of cutter suction dredger.By using the method of neural network prediction and maximum yield estimation,the optimal control parameters of the lateral movement control system of the dredger under different conditions are obtained.At the same time,the control parameters are compared and simulated.The simulation results show that the simulation yield is higher than that of the real ship in an effective period without boundary deceleration.The method studied in this paper can provide theoretical basis and technical reference for the automatic control of the lateral movement system in the dredging construction of cutter suction dredger,so that the cutter suction dredger can take into account different control requirements and performance constraints to stabilize the maximum output in a lateral movement cycle.