PMSM Servo Drive for V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Chebyshev NN Control System

- Journal title : Journal of Electrical Engineering and Technology
- Volume 10, Issue 1, 2015, pp.408-421
- Publisher : The Korean Institute of Electrical Engineers
- DOI : 10.5370/JEET.2015.10.1.408

Title & Authors

PMSM Servo Drive for V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Chebyshev NN Control System

Lin, Chih-Hong;

Lin, Chih-Hong;

Abstract

Because the wheel of V-belt continuously variable transmission (CVT) system driven by permanent magnet synchronous motor (PMSM) has much unknown nonlinear and time-varying characteristics, the better control performance design for the linear control design is a time consuming job. In order to overcome difficulties for design of the linear controllers, a hybrid recurrent Chebyshev neural network (NN) control system is proposed to control for a PMSM servo-driven V-belt CVT system under the occurrence of the lumped nonlinear load disturbances. The hybrid recurrent Chebyshev NN control system consists of an inspector control, a recurrent Chebyshev NN control with adaptive law and a recouped control. Moreover, the online parameters tuning methodology of adaptive law in the recurrent Chebyshev NN can be derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, the optimal learning rate of the parameters based on discrete-type Lyapunov function is derived to achieve fast convergence. The recurrent Chebyshev NN with fast convergence has the online learning ability to respond to the system's nonlinear and time-varying behaviors. Finally, to show the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.

Keywords

Permanent magnet synchronous motor;V-belt continuously variable transmission;Chebshev neural nework;Lyapunov stability;

Language

English

Cited by

1.

Application of hybrid recurrent Laguerre-orthogonal-polynomial NN control in V-belt continuously variable transmission system using modified particle swarm optimization,;

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