挖掘机节能用变量泵BP神经网络控制系统研究

Study of BP neural network based energy-saving control to variable pump in excav

从节能角度出发,提出了一种新的液压挖掘机节能用变量泵控制方法———BP神经网络控制方法,在油门一定的条件下,根据发动机转速(外部负载)的变化,控制系统实时调整变量泵的排量,从而实现发动机与变量泵的合理匹配。基于此方法进行了台架试验,结果证明新型控制系统优于传统的PID控制方法。

BP neural network based control system for variable pump is developed to reduce energy loss in excavator.Under the given engine accelerograph,the displacement of pump varies to the engine rotating speed to realize the reasonable matching of engine and pump.Tests show that the BP neural network based system is better than PID system in performance.