Performance analysis of neuro-fuzzy position controller for vector controlled induction motor drive
by Lal Bahadur Prasad; Krishna Pratap Singh; Hema Latha Javvaji
International Journal of Fuzzy Computation and Modelling (IJFCM), Vol. 1, No. 2, 2014

Abstract: This paper presents the modelling, simulation, and performance analysis of a hybrid neuro-fuzzy logic controller for position control of induction motor using vector control techniques. In this paper, the space vector pulse width modulated voltage source inverter fed induction motor drive has been considered. The adaptive neuro-fuzzy inference system (ANFIS) method is used to design the direct torque neuro-fuzzy controller (DTNFC). The ANFIS structure can be tuned automatically by least square estimation and back propagation algorithm. The MATLAB-SIMULINK models are developed for both cases of without and with neuro-fuzzy controller to simulate the position control scheme. The simulation results justify the comparative advantages of ANFIS based neuro-fuzzy position controller which achieves the desired performance.

Online publication date: Sat, 07-Feb-2015

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 Fuzzy Computation and Modelling (IJFCM):
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