Design And Simulation Of Active-controlled Winch Heave Compensating System Used For Marine Hoisting

Crane for marine hoisting operations is an important marine engineering equipment, its security and reliability has always been highly concerned. Among the threatening factors, the uncontrollable movement (particularly heave movement) caused by wave heave is very harmful to the crane hoisting operation safety. Therefore, the heave compensation which is used for solving this problem has become one of the core technologies in marine equipment manufacturing industry.In this paper, the winch active heave compensation system and its related technologies are studied deeply, and the system is designed on the basis of the results of previous work. The pump-controlled hydraulic motor technology, energy recovery technology and hydraulic secondary regulation technology are combined together creatively, and then plus a differential gear unit which combines the main lift movement and the compensating movement, a new type winch active heave compensation system is formed. In this paper, the principle design of system, the design and calculation of main system parameters and the detail design of important components have been done, the AMESim simulating model of the corresponding system has been built and the system working performance simulating analysis has been implemented. According to the analysis of the simulating result, the system parameters are accurate, the control performance is fit for actual requirements, and the system is feasible in principle.On the basis of the former design, this paper has also done the optimizing design of the system, and the main optimized objects are the pump controlled hydraulic motor system and the PID controller. In this process, the system parameters and the control performance are further optimized. On the basis of optimized design parameters, this paper carried out a second simulation. That analysis concluded that the overall system performance is improved to some extent, and the purpose of optimizing design has been basically reached. For the next success, system experiment scheme is designed preliminarily in this paper.