基于神经网络的卷染机控制系统设计
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摘要
针对高温高压工作环境下卷染机的恒速度恒张力控制问题,采用交流变频调速传动系统,选择基于神经网络的改进的比例、积分、微分控制算法作为卷染机自适应卷速和张力控制的实现算法,进行控制系统设计。本算法利用逆向反馈神经网络的强迭代学习能力,实现了控制算法中的比例参数、积分参数和微分参数的自适应调节,以达到对卷染机卷染速度和卷轴张力的长时间恒定控制。经过实际测试,本控制系统可以有效控制高温高压环境下卷染机的染色过程,达到良好的染色效果。
In order to solve the problem of constant speed and constant tension control of jigger under high temperature and high pressure,AC variable frequency speed control system is chosen as the main architecture,and the improved proportional,integral and differential control algorithm based on neural network is selected as the implementation algorithm to design the adaptive control system of jigger.To achieve the longtime constant control of the dyeing speed and the reel tension of jigger,the algorithm uses the strong iterative learning ability of the back propagation neural network to realize the adaptive adjustment of the proportional parameter,integral parameter and differential parameter in the control system.Through actual test,the control system can effectively control the dyeing process of jigger under high temperature and high pressure and hence achieve a good dyeing effect.
In order to solve the problem of constant speed and constant tension control of jigger under high temperature and high pressure,AC variable frequency speed control system is chosen as the main architecture,and the improved proportional,integral and differential control algorithm based on neural network is selected as the implementation algorithm to design the adaptive control system of jigger.To achieve the longtime constant control of the dyeing speed and the reel tension of jigger,the algorithm uses the strong iterative learning ability of the back propagation neural network to realize the adaptive adjustment of the proportional parameter,integral parameter and differential parameter in the control system.Through actual test,the control system can effectively control the dyeing process of jigger under high temperature and high pressure and hence achieve a good dyeing effect.
引文
[1]刘秉亮.卷染机恒线速度控制系统设计[D].济南:山东大学,2005.
[2]文贝.双变频卷染机控制系统的设计[D].杭州:浙江理工大学,2016.
[3]梁逸敏,陈栋,壮炳良.卷染机智能化控制系统设计与应用[J].轻纺工业与技术,2016,45(04):5-7.
[4]盛卫锋,王小伟.卷染机中央控制系统[J].电子设计工程,2015,23(05):97-100.
[5]梁逸敏,陈栋,壮炳良.ZHGR1800S型双变频自动卷染机控制系统[J].山东纺织经济,2016(07):39-40,35.
[6]陈璐露.基于TMS320F2812的纺织印染中心卷绕功能自适应同步控制的研究[D].武汉:武汉纺织大学,2016.
[7]江明,王龙明,陈跃东.基于PLC的交流变频调速控制高温高压卷染机研制[J].机电工程,2003(02):27-30.
[8]杨骁.基于自适应PID算法的轧染机恒张力控制系统研究[D].辽宁:辽宁工业大学,2014.
[9]刘迪,李岩,张大为.一种改进型自适应PID控制算法的仿真与研究[J].仪表技术,2014(03):50-51,54.
[10]何军红,尹旭佳,史常胜.PID控制算法在西门子PLC中编程及55实现[J].工业仪表与自动化装置,2012(05):79-82.
[11]郭昌,高清维,崔桂梅.模糊PID控制算法在变频调速中的新应用[J].电机与控制应用,2011,38(08):19-22.
[12]刘迪.基于神经网络的PID控制算法[D].哈尔滨:黑龙江大学,2008.
[13]Kang W N,Chu T,Zhao H X.The Design of Constant Tension System Basedon BP Neural Network PID Control[J].Scientific Journal of Control Engineering,2014,4(2):58-63.
[2]文贝.双变频卷染机控制系统的设计[D].杭州:浙江理工大学,2016.
[3]梁逸敏,陈栋,壮炳良.卷染机智能化控制系统设计与应用[J].轻纺工业与技术,2016,45(04):5-7.
[4]盛卫锋,王小伟.卷染机中央控制系统[J].电子设计工程,2015,23(05):97-100.
[5]梁逸敏,陈栋,壮炳良.ZHGR1800S型双变频自动卷染机控制系统[J].山东纺织经济,2016(07):39-40,35.
[6]陈璐露.基于TMS320F2812的纺织印染中心卷绕功能自适应同步控制的研究[D].武汉:武汉纺织大学,2016.
[7]江明,王龙明,陈跃东.基于PLC的交流变频调速控制高温高压卷染机研制[J].机电工程,2003(02):27-30.
[8]杨骁.基于自适应PID算法的轧染机恒张力控制系统研究[D].辽宁:辽宁工业大学,2014.
[9]刘迪,李岩,张大为.一种改进型自适应PID控制算法的仿真与研究[J].仪表技术,2014(03):50-51,54.
[10]何军红,尹旭佳,史常胜.PID控制算法在西门子PLC中编程及55实现[J].工业仪表与自动化装置,2012(05):79-82.
[11]郭昌,高清维,崔桂梅.模糊PID控制算法在变频调速中的新应用[J].电机与控制应用,2011,38(08):19-22.
[12]刘迪.基于神经网络的PID控制算法[D].哈尔滨:黑龙江大学,2008.
[13]Kang W N,Chu T,Zhao H X.The Design of Constant Tension System Basedon BP Neural Network PID Control[J].Scientific Journal of Control Engineering,2014,4(2):58-63.