Research Of Hydraulic Control System On Multi-axle Steering Of Large Tonnage Crane

Large Tonnage Crane plays an important role in the engineering construction.When the vehicle turns the steering, the length and the weight of it lead to excessiveturning radius. When it works in a complex work environment, The mobility of thevehicle is very poor, and tires are worn very serious. This affects the flexibility of thevehicle. The car crane application of multi-axle steering technology can improvethe steering performance of it, but if tires do not cooperate well with others, the tireswill be worn more severely and the stable of the vehicle will be destroyed. ControlTechnology of multi-axis turning can controls the wheels angle reasonably. Thiscontrol strategy can help vehicles turning successfully. Therefore, the study ofmulti-axis steering control technology is very important to improve the performanceof the vehicle.This paper studies hydraulic steering system of Large Tonnage Crane. Create asystem simulation model in MATLAB and AMESim, and analysises on the dynamiccharacteristics of the system. Design a fuzzy PID controller based on fuzzy controltheory. It improves the multi-axis steering control strategy and improve theperformance of multi-axial vehicle steering. The main contents of this paper are asfollows:(1)First, this paper introduces the multi axle steering modes and their ownadvantages. Analyze multi-axis steering system. Then introduce the zero sideslipangle control strategy and mathematical model of two degrees of freedom. Create amathematical model of the system, and determine stable of the system.(2)Build Co-simulation environment of AMESim and MATLAB. Set up thesimulation model of the electro-hydraulic proportional system of single steering axlein AMESim and create a PID controller in MATLAB. After entering different inputsignals, analysis of the dynamic characteristics of the hydraulic system and itsinfluence factors.(3)Build a test bench of the single steering axle hydraulic. Compare theexperimental data with the simulation data，it proves that the model of the thirdchapter is correct. It lays the foundation for further improvements of control strategy.(4)Designe the fuzzy PID controller which can optimize the three PIDparameters. Without changing the existing system it can improve the performance of the vehicle steering system by the way of optimizing the control strategy. Thisimproves the response and immunity of the steering system.