DDPG-based control strategy for sedimentation process in mud of rake suction dredger

Aiming at the low yield problem caused by the serious reliance on manual experience operation in the mud deposition process of rake suction dredger, this paper proposes a control strategy based on the DDPG algorithm for the mud deposition process, which can realize the intelligent control of the mud deposition process according to the current construction state. Firstly the mechanism of sediment deposition process of rake suction dredger is analysed and modelled. Secondly, the DDPG algorithm is used to fully explore the process in a sediment deposition modelling environment. The experimental results show that the strategy reduces the overflow loss and increases the sediment deposition volume by adjusting the overflow barrel height, inlet flow rate and inlet density in real time to optimize the yield.