Stability simulation and parameter optimization of load sensing pump

MA Chong, KONG Xiaowu
（State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China）

Abstract: Aiming at the problem that the large pressure bias and the poor stability of the load sensing pump, a virtual prototype of a load sensing pump was developed by combining Pro/E, ADAMS and AMESim. Through analyzing the pumps working principle and the simulation results, a method that how to match the volume and the diameter of damping orifices was reached. Based on this method, the 56 cc/r load sensing pump was optimized, and the better match effect of volume and damping orifice was gotten. The feasibility and effectiveness of this method were verified through many experiments. The results indicate that the load sensing pump optimized shows a stable performance, and the output pressure bias and vibration are decreased in high pressure condition.
Key words: load sensing pump; damping orifice; stability; pressure bias; parameter optimization