Adaptive Recurrent Chebyshev Neural Network Control for PM Synchronous Motor Servo-Drive Electric Scooter

作者：Lin Chih Hong^*

来源：Control Engineering and Applied Informatics, 2014, 16(3): 106-117.

• Permanent Magnet Synchronous Motor
• Chebyshev Neural Network
• Lyapunov stability

Because of unknown nonlinearity and time-varying characteristics of electric scooter driven by permanent magnet synchronous motor (PMSM), its accurate dynamic model is difficult to establish for the design of the linear controller in whole system. In order to conquer this difficulty and raise robustness, an adaptive recurrent Chebyshev neural network (NN) control system is proposed to control for a PMSM servo-drive electric scooter under external torque disturbance in this study. The adaptive recurrent Chebyshev NN control system consists of a recurrent Chebyshev NN control and a compensated control with estimation law. In addition, the online parameters tuning methodology of the recurrent Chebyshev NN and the estimation law of the compensated controller can be derived by using the Lyapunov stability theorem. Finally, comparative studies are demonstrated by experimental results in order to show the effectiveness of the proposed control scheme.

• 出版日期2014-9