The full text of this article


Neural network augmented backstepping control for an induction machine
by Mohammed Belkheiri, Fares Boudjema
International Journal of Modelling, Identification and Control (IJMIC), Vol. 5, No. 4, 2008


Abstract: A new control approach is proposed to address the tracking problem of an induction machine based on a modified Field-Oriented Control (FOC) method. In this approach, one relies first on a partially known model to the system to be controlled using a backstepping control strategy. The obtained controller is then augmented by an Adaptive Neural Network (NN) that serves as an approximator for the neglected dynamics and modelling errors. The proposed approach is systematic, and exploits the known non-linear dynamics to derive the stepwise virtual stabilising control laws. At the final step, an augmented Lyapunov function is introduced to derive the adaptation laws of the network weights. The effectiveness of the proposed controller is demonstrated through computer simulation.

Online publication date: Wed, 25-Feb-2009


is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Modelling, Identification and Control (IJMIC):
Login with your Inderscience username and password:


    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email