BP神经网络在电动执行器控制中的应用
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摘要
为提高电动执行器的控制精度、消除电机振荡,满足智能制造领域对电动执行器控制性能越来越高的需求,将人工神经网络应用于电动执行器的控制中,设计一套高精度、高稳定性的电动执行器。该电动执行器将电机的电压、电流、转速、温度作为输入量,利用人工神经网络预估电机停止位置,避免电机振荡,其控制精度由国家标准规定的5%提高到1%。实验结果表明,该电动执行器电路更加简单,能够有效提高系统稳定性和控制精度。
In order to improve the control precision of the electric actuator,eliminate the oscillation of the motor,and meet the increasing demand for the control performance of the electric actuator in the field of intelligent manufacturing,the artificial neural network is applied to the control of the electric actuator,and a set of high precision and high stability electric actuator is designed. The electric actuator uses the voltage,current,speed and temperature of the motor as input,and uses artificial neural network to predict the stop position of the motor,avoids the oscillation of the motor. The control precision is increased to 1% from 5% of the national standard. The experimental results show that the electric actuator circuit is simpler and can effectively improve the system stability and control accuracy.
In order to improve the control precision of the electric actuator,eliminate the oscillation of the motor,and meet the increasing demand for the control performance of the electric actuator in the field of intelligent manufacturing,the artificial neural network is applied to the control of the electric actuator,and a set of high precision and high stability electric actuator is designed. The electric actuator uses the voltage,current,speed and temperature of the motor as input,and uses artificial neural network to predict the stop position of the motor,avoids the oscillation of the motor. The control precision is increased to 1% from 5% of the national standard. The experimental results show that the electric actuator circuit is simpler and can effectively improve the system stability and control accuracy.
引文
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[9]任工昌,等.神经网络下单目视觉测距方法的研究[J]陕西科技大学学报,2018,36(1):137-142.
[2]王建猛,曹龙汉,何俊强.智能电动执行器及其变频控制技术综述[J].黑龙江科技信息,2011(8):30-35.
[3]徐声云,汤占峰,周祥态.超(超)临界阀门电动执行机构大推力输出装置的研究[J].机电工程技术,2014(6):169-171.
[4]聂建军,吕亚磊,李辉,刘媛.多回转阀门智能电动执行器传动机构的开发[J].机电工程技术,2015,449(3):6-8.
[5]神会存,刘媛,李辉.多回转阀门执行器逆止机构的设计和分析[J].中原工学院学报,2014,25(3):7-9.
[6]梁栋,卜旭辉,余发山.基于DSP的电动执行器控制系统[J].仪表技术与传感器,2008(2):62-63.
[7]吴海波,张卫国.基于MODBUS协议的智能执行器接口设计[J].漯河职业技术学院学报,2012,11(2):11-12.
[8]陈青,侯立刚,曹江涛.基于模糊神经网络的执行器故障诊断[J].电子设计工程,2013,21(19):105-107.
[9]任工昌,等.神经网络下单目视觉测距方法的研究[J]陕西科技大学学报,2018,36(1):137-142.