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 better 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
Key words
4-layer circle braiding machine/motor/control system/active disturbances rejection control/permanent magnet synchronous motor/radial basis function neural network
维普
万方数据