基于神经网络自抗扰控制的四环编织机电动机控制系统  

Motor control system of circular braiding machine based on RBF-ADRC

作　　者：王子轩 孟婥[1] 张玉井 孙以泽[1] WANG Zixuan;MENG Chuo;ZHANG Yujing;SUN Yize(College of Mechanical Engineering,Donghua University,Shanghai 201620,China)

机构地区：[1]东华大学机械工程学院,上海201620

出　　处：《上海纺织科技》2024年第12期90-96,共7页Shanghai Textile Science & Technology

基　　金：江苏省重点研发计划(BE2023070);国家自然科学基金青年基金(51905088)。

摘　　要：针对常规PID结构难以实现高速和高精度控制要求的问题,基于永磁同步电动机非线性、强耦合等特点,提出基于径向基(Radial Basis Function,RBF)神经网络优化自抗扰(Active Disturbances Rejection Control,ADRC)控制器参数的电动机控制策略。仿真结果表明,RBF-ADRC控制具有更好的动态响应特性,能更好地跟踪控制信号,通过试验验证了RBF-ADRC控制方法的有效性。Aiming at the problem that conventional PID structures are difficult to achieve high-speed and high-precision control requirements,based on the nonlinear and strong coupling characteristics of permanent magnet synchronous motors,a motor control strategy based on radial basis function(RBF)neural network optimization of active disturbance rejection control(ADRC)controller parameters is proposed.The simulation results show that RBF-ADRC control has beter dynamic response characteristics and can better track control signals.The effectiveness of the RBF-ADRC control method has been verified through experiments.

关 键 词：四环编织机 电动机 控制系统 自抗扰控制 永磁同步电动机 径向基神经网络 

分 类 号：TS103.7[轻工技术与工程—纺织工程]