Cutter Suction Dredger Dredging Optimization

Dredger was one of the most commonly used dredging tool in the modern dredge project,The Cutter suction dredger that one of it can excavate and transport the soil at same time, so it had high efficiency and a widely range of adaptability. But it's equipment investment was high and it's work time was long,also the dynamic characteristics in the actual dredging process was extremely complex,all thouse made the optimization of Cutter suction dredger to particularly important.The conventional optimization method was off-line,it carried though the theory calculate accordding to the equipment parameter, to catch the best optimizate control value,but the operating environment changed every moment,so it's productivity was very low,for thouse,this paper reaserch a online-optimize method which can optimize the dredge output and programme the dredge actions.The core of the optimizate method contained two aspects: the strategy optimization and the system control.According to the parameters that measured online and the equipment informations, the strategy optimization made a strategy center,it took the maximum dredge output as the target,used the limit of the concentration and the flow of velocity for the restrict.established a optimize strategy model,and turn the optimization to a nonlinear programming problem, we used the genetic algorithm to solve it , got the value of concentration also the flow of velocity.The system control was a stability control that mainly for the concentration and the flow of velocity.it took the values of the concentration and the flow of velocity that the strategy center calculated as the expect value,and send them to the control system,the concentration control system used the Minimum variance self-tuning controller which united the Recursive least squares algorithm and the Minimum variance control. the flow of velocity control system used the single-neuron network PID controller which united neural network and the conventional PID control.This optimizate method can measure the real-time parameters, catch the best control value quickly, send them to the control system to operate optimizate control. Finally,we tested the control method's performance based on the 900 number cutter suction dredger by computer simulink, and the results were satisfy.