基于SSA的挖掘机能耗控制策略研究

Research on Energy Consumption Control Strategy of Excavators Based on SSA

摘要: 为提高泵控挖掘机的节能效果，本文提出了一种基于麻雀搜索算法(SSA)的控制策略。根据已知的挖掘机工作循环，利用麻雀搜索算法，通过优化发动机转速和主泵排量的调节，实现发动机和主泵在高效工作点的协同运行，从而获得挖掘机在一个标准工作循环下的最优燃油消耗。仿真结果显示，采用麻雀搜索算法优化后，挖掘机油耗相较于传统额定转速控制策略降低了17.79%，取得了显著的节能效果。

Abstract: In order to improve the energy efficiency of pump-controlled excavators, this paper proposes a control strategy based on the Sparrow Search Algorithm (SSA). By utilizing the known working cycle of the excavator, the SSA is employed to optimize the engine speed and the main pump displacement, achieving coordinated operation of the engine and main pump at their efficient working points. This optimization results in the minimum fuel consumption of the excavator during a standard working cycle. Simulation results show that, after optimization with the Sparrow Search Algorithm, the fuel consumption of the excavator is reduced by 17.79% compared to the traditional rated speed control strategy, achieving significant energy-saving improvements.