Motor control system of circular braiding machine based on RBF-ADRC
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.
4-layer circle braiding machinemotorcontrol systemactive disturbances rejection controlpermanent magnet synchronous motorradial basis function neural network
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维普
