Robust load angle direct torque control with SVM for sensorless induction motor using sliding mode controller and observer
by Abdelkarim Ammar; Amor Bourek; Abdelhamid Benakcha
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 11, No. 1, 2019

Abstract: The AC drives direct torque control (DTC) technique has been designed to obtain a high performance for flux and torque control. Because of some downsides, the space vector modulation (SVM) has been proposed for the improvement of classical DTC strategy. Besides, the sliding mode control proofs that it can solve robustness and disturbances problems. Furthermore, it has taken a grand part in sensorless applications. In this paper, a robust modified DTC scheme will be presented for induction motor drive basing on various control strategies. Firstly, ripples reduction strategy based on load torque angle variation and SVM will be presented. This technique is known as load angle SVM-DTC. Secondly, a sliding mode speed controller will be used instead of the conventional PI for speed control loop. Moreover, this paper aims to design a dual sliding mode observer for speed/flux and load torque estimation. They can improve the control performances by decreasing the cost and increasing the reliability of the global control system. The proposed sensorless control method will be investigated by simulation and experimentally using MATLAB/Simulink in real time environment using dSpace 1104.

Online publication date: Mon, 10-Dec-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 Computer Aided Engineering and Technology (IJCAET):
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 subs@inderscience.com