Paper Title:
RBF NN-Based Block PD-Type Backstepping Control of Induction Motor
  Abstract

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, 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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Price
$32.00
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