Fuzzy sliding mode control for three-tank system based on linear matrix inequality
by El Mehdi Mellouli; Mohammed Alfidi; Ismail Boumhidi
International Journal of Automation and Control (IJAAC), Vol. 12, No. 2, 2018

Abstract: A novel method-based fuzzy sliding mode (FSM) and linear matrix inequality (LMI) approach is presented in this paper to design a new robust adaptive fuzzy controller for a perturbed multi-input multi-output (MIMO) three-tank system with unknown dynamics and without chattering problem that is produced by the traditional sliding mode control. The proposed method uses the adaptive fuzzy system Takagi-Sugeno (TS) to approximate the unknown dynamics model of the three-tank system which is considered a very complicated system due to the high nonlinearity and cross coupling. Moreover, to overcome the external disturbance and the fuzzy approximation errors due to the modelling system, an auxiliary control term-based sliding mode is incorporated in the control law. Linear matrix inequality is used to determine the parameters of the dynamic compensator which is added to improve more performance of the closed-loop system in the sliding mode. The stability and robustness of the proposed method are proved, and the simulation is given to demonstrate the tracking performance of the proposed approach.

Online publication date: Wed, 28-Mar-2018

The full text of this article 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 Automation and Control (IJAAC):
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 [email protected]