Wheeled Engineering Machinery Anti-skid Differential System Design

The paper makes research on the wheeled engineering machinery differential system, not only has the important academic value, but also have great importance in increases in enhances the domestic engineering machinery's security and Chinese engineering machinery industry's international competitive power. At present, the developed country concentrates the differential control system's research to its core technologies--control strategy and the method research. This article based on the analysis in the differential control system's control method and the principle, has conducted the research and the simulation analysis to the differential control system's control method as well as vehicles' brake stability control method. The main research results include:Take vehicles' dynamics analysis as a foundation, established vehicles dynamics model based on the polar coordinate's ground coordinate system and the engineering vehicles coordinate system's; Has realized the vehicles model with Matlab/Simulink and has carried on the simulation. According to vehicles' operating condition simulation control method we can effectively suppress exceeding part, control differential control system to track road surface condition change.Proposed brake vehicles stability control method based on the optimum control method, through vehicles' sway moment of force control and the corresponding wheel skidding rate and coefficient of adhesion's adjustment causes the vehicles to maintains the brake stability, carry on the simulation of the road starting out from opposite directions folio surface to the vehicles the brake operating mode. The simulation result indicated that proposed the control method can adjust the vehicles sway to cause the vehicles maintains the brake stability effectively.In view of stability problem which lying in the vehicles braking and steering, proposed the fuzzy stable model steering brake control method which based on the fuzzy neural network identification. Applies the fuzzy neural network identify vehicles brake steering fuzzy model, thus decomposes the vehicles nonlinear system model through the fuzzy method into certain linear system, system's outputs are these linear system's outputs' weighted sum. According to the fuzzy model which has established inferred the generalized predictive control model. Using this method carry on the simulation of vehicles' steering brake control system working mode. It has provided the new mentality for vehicles' brake stability control question's research.