改进自抗扰下的细纱机卷绕系统控制策略  

Control strategy of winding system of spinning frame based on improved active disturbance rejection

作　　者：廉继红[1] 王炳炎 王延年[1] 王栋 LIAN Jihong;WANG Bingyan;WANG Yannian;WANG Dong(School of Electronics and Information,Xi’an Polytechnic University,Xi’an 710048,China)

机构地区：[1]西安工程大学电子信息学院,陕西西安710048

出　　处：《西安工程大学学报》2023年第4期40-47,共8页Journal of Xi’an Polytechnic University

基　　金：陕西省科技厅一般项目(2022GY-053)。

摘　　要：为了保证细纱机在卷绕的过程中纱线张力稳定,减少纱线断头率,提高成纱质量,针对永磁同步电机驱动卷绕系统调速后的转速、转矩波动等问题,采用了灰狼优化(grey wolf optimizer,GWO)算法,给出一种改进的基于增益可调扩张状态观测器与改进型趋近率滑模控制联合改进的自抗扰控制策略。首先在传统自抗扰控制基础上引入滑模控制,有效减小了峰值问题,提高了系统鲁棒性。其次,在滑模控制的基础上通过改进趋近率,提高了滑模趋近速度,同时引入了GWO算法调整滑模控制初始参数,减小了抖振问题。对自抗扰算法、滑模自抗扰算法与GWO算法改进的滑模自抗扰算法分别进行对比研究,与传统自抗扰算法控制相比,基于GWO算法改进的滑模自抗扰算法控制下的永磁同步电机在驱动卷绕系统调速后,电机转速达到稳定的时间由180 ms缩短至40 ms,瞬时平均转矩增量由105 mN·m减小到70 mN·m,减小了约33.33%。实验结果表明:基于GWO算法优化下的滑模自抗扰算法控制,能提高永磁同步电机的调速性能,有效降低永磁同步电机控制过程中的转速、转矩波动,提高管纱质量,降低成纱断头率。To ensure stable tension of the yarn during winding,reduce yarn breakage rate,and improve the quality of yarn,to address issues such as speed and torque fluctuations in the speed control of permanent magnet synchronous motor-driven winding systems,we employed the grey wolf optimizer(GWO)algorithm and proposed an improved self-disturbance control strategy.This strategy combines an enhanced gain-adjustable expanded state observer with an improved approaching rate sliding mode control.Firstly,sliding mode control was introduced on the basis of traditional active disturbance rejection rejection control,which effectively reduced the peak value problem and improved system robustness.Secondly,the approaching rate was improved to increase the sliding mode convergence speed.In addition,the GWO algorithm was employed to adjust the initial parameters of the sliding mode control and effectively reduce oscillation problems.Simulations were conducted to compare the performance of the self-tuning algorithm,sliding mode self-tuning algorithm,and sliding mode self-tuning algorithm optimized by the GWO algorithm.Compared with the traditional active disturbance rejection control,the permanent magnet synchronous motor under the control of the sliding mode active disturbance rejection algorithm based on GWO algorithm shortens the time for the motor speed to stabilize from 180 ms to 40 ms after driving the winding system to adjust the speed and the instantaneous average torque increment is reduced from 105 mN·m to 70 mN·m,a decrease of 33.33%.The results demonstrate that the proposed active disturbance rejection control strategy based on the GWO algorithm can enhance the speed regulation performance of the permanent magnet synchronous motor,effectively reduce speed and torque fluctuations during the control process,improve yarn quality,and reduce yarn breakage rate.

关 键 词：细纱机卷绕系统 永磁同步电机 自抗扰控制 改进型滑模 灰狼优化算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]