基于模糊神经网络的液压挖掘机节能控制  

Hydraulic Excavator Energy Saving Based on Fuzzy Neutral Network

作　　者：陈轶辉[1] 赵树忠 李洪星[3] 

机构地区：[1]唐山工业职业技术学院,河北唐山063000 [2]华北理工大学机械工程学院,河北唐山063000 [3]唐山亚特专用汽车有限公司,河北唐山063000

出　　处：《机械设计与制造》2017年第12期80-84,共5页Machinery Design & Manufacture

基　　金：国家科技支撑计划资助项目(2014BAA04B01)

摘　　要：为了节省液压挖掘机工作过程中的能耗,提出了基于模糊神经网络的稳速节能控制方法。分析了液压挖掘机的油耗损失,给出了节能控制系统,使用变量泵替换定量泵并对挖掘机负载进行预测,根据负载压力需求调节变量的流量,减小了发动机、液压泵和负载功率不匹配造成的能量损失,从而将节能目标转换为发动机转速稳定;建立了挖掘机的动力系统模型,用于对挖掘机控制和仿真分析;提出了模糊神经网络算法,将模糊控制与神经网络的优势融合,经仿真验证和实车试验可以看出,模糊神经网络算法可以将转速稳定在设定转速误差范围内,达到了稳速节能的目标。To save energy consumption of hydraulic excavator, steady speed and energy saving control system based on fuzzy neutral network is proposed. Fuel consumption loss of hydraulic excavator is analyzed, and energy saving control system is given. Variable pump is used to replace dosing pump and loading pressure is forecasted, so that variable pump flow can be adjusted depend on loading pressure requirement. In this way, energy loss caused be power mismatching can be lessen, and the energy saving goal is converted to steady speed. Dynamic system model of hydraulic excavator is built used to control and simulation analysis. Fuzzy neutral network fused advantage of fuzzy control and neutral network is put forwavd. Simulation trial and actual vehicle trial shows that the algorithm can stabilize the speed within the error range, and the goal of steady speed and energy saving is achieved.

关 键 词：液压挖掘机 节能控制系统 模糊神经网络 负载预测 

分 类 号：TH16[机械工程—机械制造及自动化] TH11