NN-Based Block Adaptive Backstepping Control of Induction Motor

Hai Yan Li; Yun An Hu

doi:10.4028/www.scientific.net/AMR.268-270.528

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270NN-Based Block Adaptive Backstepping Control of...

NN-Based Block Adaptive Backstepping Control of Induction Motor

Abstract:

Based on the model of induction motors in field-oriented coordinates, a block adaptive backstepping method is used to design a controller for induction motor. 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 and load uncertainties. Simulation results show the effectiveness of the proposed approach.

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Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

528-533

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.528

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Online since:

July 2011

Authors:

Hai Yan Li, Yun An Hu

Keywords:

Backstepping, Block Control, Induction Motor (IM), Neural Network (NN)

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