电液比例泵控马达速度复合控制  

Electrohydraulic Proportional Pump Control Motor Speed Composite Control

作　　者：程永会 黄续芳 CHENG Yong-hui;HUANG Xu-fang(Sichuan Vocational College of Chemical Technology,Luzhou,Sichuan 646300)

机构地区：[1]四川化工职业技术学院,四川泸州646300

出　　处：《液压与气动》2023年第12期133-140,共8页Chinese Hydraulics & Pneumatics

摘　　要：针对泵控马达调速系统负载扰动问题设计了一种负载扰动前馈补偿结合双闭环BP神经网络PID控制的复合控制方法,分别在Simulink和AMESim中搭建了控制系统和液压系统的仿真模型,并进行了联合仿真。结果表明:在转速追踪阶段,复合控制在0.3 s达到目标转速,大幅缩短了响应时间,与双闭环BP神经网络PID控制的响应时间相同;在突变负载干扰作用下,复合控制的超调量更小,达到稳定的调节时间更短;在连续变化负载干扰下,复合控制在恢复稳态时基本没有稳态误差,抗干扰能力更强。A composite control method combining load disturbance feedforward compensation and dual closed-loop BP neural network PID control was designed for the problem of load disturbance in the pump control motor speed control system.Simulation models of the control system and hydraulic system were built in Simulink and AMESim,and joint simulations were conducted.The simulation results show that in the speed tracking stage,the composite control reaches the target speed in 0.3 s,significantly reducing the response time,which is the same as the response time of the dual closed-loop BP neural network PID control;Under the influence of sudden load interference,the overshoot of the composite control is smaller,and the stable adjustment time is shorter;Under continuous changes in load interference,composite control has almost no steady-state error when restoring steady state,and has stronger anti-interference ability.

关 键 词：泵控马达 前馈 BP神经网络 联合仿真 

分 类 号：TH137[机械工程—机械制造及自动化]