基于AMESim和Simulink联合仿真的阀控马达神经元PID调速系统控制  

Single Neural Element PID Control Based on AMESim and Simulink Co-simulation for Speed Governing System of Valve-controlled Motor

作　　者：孟凡虎[1] 赵素素 于子彭 王娜[1] 高峰[1] 

机构地区：[1]长安大学道路施工技术与装备教育部重点实验室,陕西西安710064

出　　处：《液压与气动》2016年第7期83-88,共6页Chinese Hydraulics & Pneumatics

摘　　要：为了研究阀控马达调速系统的控制性能,首先介绍了AMESim和Simulink联合仿真的技术,通过AMESim软件建立系统精确的模型,以PID作为控制器,应用神经网络控制理论解决传统PID参数调节困难的问题,并采用神经元PID控制器的改进算法,在Simulink中搭建基于S函数的控制系统仿真模型,最终对阀控马达调速系统进行控制。仿真结果表明:输入阶跃信号时系统的响应速度加快,超调减少,调节时间缩短;施加负载时,转速震荡减小,系统抗干扰能力提高;输入正弦信号时,幅值超调减小,相角滞后减小,跟随性能提高。In order to study the performance of valve-controlled motor＇ s speed governing system, we first introduce the AMESim and Simulink co-simulation technology, and then establish the accurate system model by AMESim soft- ware＇ s PID controller, to solve the difficult problem in the adjustment of conventional PID parameter with the application of neural network control theory and then use the improved algorithms of single neuron PID controller, Finally we build the simulation model of control system based on S-Function in Simulink, and apply it to the valve- controlled motor speed governing system. Results of the simulation show that： the response speed becomes faster; the overshoot is reduced; the settling time is shortened under the step signal input; the speed volatility is reduced, and the anti-jamming capability is improved when a load is applied; the amplitude overshoot is reduced, and the phase angle hysteresis is decreased, and the followed performance is improved when the sine signal is input

关 键 词：阀控马达 联合仿真 神经元PID S函数 调速系统 

分 类 号：TH137[机械工程—机械制造及自动化]