Active Disturbance Rejection Controller Based on Neural Network in the Permanent Magnetic Synchronous Motor Servo System

Abstract:

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Permanent magnetic synchronous motor (PMSM) is a strong coupling and non-linear system. In the speed-loop of PMSM servo system controlled by active disturbance rejection controller (ADRC), it is difficult to ensure the estimation precision of disturbance by extended state observer (ESO) in the case of big disturbance. In the paper, the ADRC based on the artificial neural network (ANN) is applied to the speed-loop of PMSM servo system. The result of simulation shows that this algorithm has better anti-load-disturbance performance.

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Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

874-877

DOI:

10.4028/www.scientific.net/AMM.63-64.874

Citation:

S. Wang and X. N. Wu, "Active Disturbance Rejection Controller Based on Neural Network in the Permanent Magnetic Synchronous Motor Servo System", Applied Mechanics and Materials, Vols. 63-64, pp. 874-877, 2011

Online since:

June 2011

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$35.00

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