Research On Parameter Matching And Power Adaptive Control Method For Full Hydraulic Bulldozer

Full hydraulic bulldozer is a typical traction engineering machinery, and its cycle operation way decides the machine needs to work under the different load conditions.Unlike the continous operation way non-traction engineering machinery has the operation quality requirements, pursues high stability of speed. Full hydraulic bulldozer is different, it seeks after adaptability of speed according to the variation of the external load, through adjusting hydraulic transmission device.The paper puts improving the full hydraulic bulldozer's power efficiency, reducing energy consumption for the purpose, has researched full hydraulic bulldozer's parameters matching and power adaptive control methods aiming at its work characteristics of changing load.This paper analyzes full hydraulic bulldozer's key parameter matching principles and the control methods; elaborates the engine, the variable pump and variable-displacement motor respective performance parameters matching and control targets; details full hydraulic bulldozer power adaptive control theory and feasible control strategy based on parameter matching principles of the power adaptive control system composed of by engine, hydraulic transmission system and working load,and takes a full hydraulic for example, analyzes and calculates its key matching parameters;And establishes the engine accelerator actuators, pump and motor displacement adjusting mechanism respective mathematical models at last,and introduces fuzzy self-adaptive PID control method and the single neuron self-adaptive PID control method and theirs arithmetics,simulate the power adaptive control system though reasonable matching its paramaters.By using simulation software AMEsim and Matlab/simulik them respective advantages,the paper has simulated fully hydraulic bulldozer's power adaptive control system, the simulation results indicate that two control methods designed based on fuzzy self-adaptive theory and the single neuron self-adaptive theory can effectively overcome the influence of time-varying parameters about power control system, implement real-time control of the system, and have good stability and robustness. And the latter control effect's reliability is better than the former. The key parameters matching theories and power adaptive control method about full hydraulic bulldozer detailed by this paper have same guidance and reference value for other hydraulic traction type engineering vehicles.