Design Of Synchronous Lifting System And The Control Strategy Research On BZT1000Transporting Bridge Vehicle

This paper studies the bridge synchronous lifting system under the SPMT method,which is the first successful application of a new type of bridge construction in ourcountry. The design of bridge synchronous lift system in this topic is supposed to meet therequirements of special construct conditions, which the traditional system is difficult tomeet, so it needs to be redesigned. The current study on synchronized system developmentis very perfect, but the mutual interference effecting problem of multiple hydrauliccylinders is not well solved, but it’s also a barrier to further enhance the driving precision.The main content of this paper is designing the bridge synchronous lifting hydraulicsystem, joining the system load sensing technology into the system; also designing thefuzzy decoupling control strategy to solve the problem of improving the accuracy ofsynchronization, which is in the condition of large load and large unbalanced load.Using the AMESim simulation software, compare and analysis the two load sensingsystems, LS and LUDV. According to the simulation results, the LS system is more suitedto the actual requirements of the system, so it’s decided to use the LS in the system. Anddiscusses the results of the system depending only on hydraulic synchronous, verifies thesynchronization accuracy of the system. It’s known that only depending on the hydraulicsynchronous is hard to meet expectations of accuracy needed. So it needs to developappropriate control strategies.Analysis the reasons that make the system not synchronize, we find that under thiscondition the main reason is unbalanced load factor, but in before researches it wasneglected in the system control. Establish the mechanical model of the synchronous liftingsystem of bridges, and get the relationship of displacement and unbalanced load, on thisbasis we can make the decoupling compensation. Propose fuzzy decoupling controlstrategy, analyze the load coupling relation between jacking points, introduce the conceptof decoupling arguments, and compensate for this coupling.Establish the mathematical model of the system, simulate the synchronization effects by using the MATLAB software. Include the fuzzy decoupling control strategy into themodel, and adjust the parameters in the simulation to get the best effects. Then we do the test,and adjust control parameters according to the actual operating conditions, get optimalsynchronization effect curve, and compare it to the simulation results, they are basicallythe same. So it’s verified the fuzzy decoupling control strategy is more advanced.