RBF NN-Based Block PD-Type Backstepping Control of Induction Motor

Abstract:

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For the model of induction motors(IMs) in field-oriented coordinates, a novel design method of controller is proposed, which combining block adaptive backstepping method with neural networks, introducing PD-type feedback, and making use of the diagonal feature of the unknown control matrix and the boundedness of its derivative. The control law and parameter updating law are derived using Lyapunov theory, which guarantees the stability of the whole system. The proposed approach can track the rotor speed and flux reference signals under parameter uncertainties. Simulation results show the effectiveness of the proposed approach.

Info:

Periodical:

Key Engineering Materials (Volumes 467-469)

Edited by:

Dehuai Zeng

Pages:

1116-1121

DOI:

10.4028/www.scientific.net/KEM.467-469.1116

Citation:

H. Y. Li and Y. A. Hu, "RBF NN-Based Block PD-Type Backstepping Control of Induction Motor", Key Engineering Materials, Vols. 467-469, pp. 1116-1121, 2011

Online since:

February 2011

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$35.00

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