Speed control of 3-phase asynchronous motor using artificial neural network

Author

Pham Thuong Cat ; Le Hung Linh ; Pham, Minhtuan

Author_Institution

Inst. of Inf. Technol., Viet Nam Acad. of Sci. & Technol., Ha Noi, Vietnam

fYear

2010

fDate

9-11 June 2010

Firstpage

1391

Lastpage

1396

Abstract

Speed control of an alternating current (AC) motor has been one of the difficult control problems. Many approaches have been proposed to solve these problems. In this paper, a speed control method is proposed using artificial neural network (ANN) with an online self-learning algorithm to compensate uncertain parameters in the dynamics model of AC motor. The global asymptotic stability of the control system is proved using Lyapunov stability method. Simulation results on MATLAB show the reliability and accuracy of the proposed method.

Keywords

Lyapunov methods; asymptotic stability; induction motors; machine control; neurocontrollers; unsupervised learning; velocity control; 3-phase asynchronous motor; AC motor; Lyapunov stability method; alternating current motor; artificial neural network; asymptotic stability; online self-learning algorithm; speed control; AC motors; Artificial neural networks; Control systems; Induction motors; Magnetic variables control; Mathematical model; Pulse width modulation inverters; Sliding mode control; Synchronous motors; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation (ICCA), 2010 8th IEEE International Conference on

Conference_Location

Xiamen

ISSN

1948-3449

Print_ISBN

978-1-4244-5195-1

Electronic_ISBN

1948-3449

Type

conf

DOI

10.1109/ICCA.2010.5524407

Filename

5524407