A Takagi-Sugeno fuzzy control of induction motor drive: experimental results Online publication date: Wed, 13-Dec-2017
by Habib Ben Zina; Moez Allouche; Mansour Souissi; Mohamed Chaabane; Larbi Chrifi-Alaoui; Maha Bouattour
International Journal of Automation and Control (IJAAC), Vol. 12, No. 1, 2018
Abstract: This paper studies an observer-based H∞ tracking control problem for induction motor in order to guarantee the field-oriented control (FOC) performances. Firstly, the physical model of the induction motor is approximated by the T-S fuzzy technique in the synchronous d-q frame rotating. Then, a fuzzy observer-based feedback control is synthesised to guarantee the control performances. The proposed controller is based on a T-S reference model in which a desired trajectory has been specified. The performances of the trajectory tracking are analysed using the Lyapunov theory and the L2 optimisation. The gains of the observer and the controller are obtained by solving a set of LMIs constraint in a single step. To highlight the effectiveness of the proposed strategy experimental results are presented for a 1.5 KW induction motor.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Automation and Control (IJAAC):
Login with your Inderscience username and 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 subs@inderscience.com