Research On Intelligent Control Strategy Of Paving Ship And Implementation Of Control System

Paving boat are more and more widely used in inland waterway management projects.With the continuous change of the operating water conditions,the operation method of the paving boat needs to take into account both the water flow and the vertical flow operation.Therefore,the design of the paving control system has also raised higher and higher requirements.At this stage,the method of paving boats based on inland waterway management and a single fuzzy control is obviously difficult to meet the control accuracy requirements under all conditions.According to the actual investigation,although the paving boats on the Yangtze River Channel Bureau has realized automatic paving operation,the automatic paving control cannot adapt to the various working conditions.Under different working conditions such as water flow and the vertical flow operation,the course of the paving boats will be affected,resulting in deviations,poor paving quality,and insufficient control robustness.In view of the current complex operation of paving and moving ships,the monitoring system for the comprehensive operation of paving and moving ships also needs to be redesigned.This article relies on the Yangtze River Waterway Bureau’s "Changyan 2" and "Changyan 22" paving and upgrading projects as the subject background.Firstly,the system modeling problem of the paving boat is studied.Based on the modeling methods of conventional ships,the mathematical model of the paving boat movement and the environmental disturbance model are established by analyzing the movement characteristics of the paving boat.It laid the foundation for the simulation of the automatic control algorithm for the paving and rowing ships.Then this paper researches and designs an automatic control algorithm for paving boats based on classic model-driven and currently popular data-driven methods.On the one hand,from the perspective of model driving,considering the characteristics of controlling the winch speed balance,a speed control model for the winch was established.Combined with expert control to correct the ship’s heading difference and track difference,a model-driven paving boat control algorithm based on a model-driven and expert system was proposed.On the other hand,from a data-driven perspective,using the long-term and short-term memory neural network LSTM’s best effect in processing time series data prediction,a winch speed predictive control model for paving boats is established.Then,based on the established movement model of the paving boat,simulation experiments are performed on the control algorithm of the paving boat to verify the basic feasibility of the algorithm.Afterwards,in this article,in view of the current complex working conditions and considering the functional requirements of paving and moving,the designed automatic control algorithm for paving and boating is applied to the paving and boating control system.In this paper,the two complex automatic control algorithms are applied to the“Changyan No.2” and “Changyan No.22” paving ship control systems in view of the current complex working conditions and the functional requirements of both paving and moving.A comprehensive operation monitoring system for laid-out ships was developed by using PLC control network technology,multi-sensor information fusion technology and GPS positioning technology.The actual ship experiment shows that when the construction is carried out under different conditions of the downstream and the vertical flow,the laying accuracy is within the allowable error range of the project,which meets the needs of the actual project and achieves the intended purpose.