DocumentCode
256142
Title
Applied approach intelligent technique for speed control of induction machine
Author
Bennassar, Abderrahim ; Abbou, A. ; Akherraz, M. ; Barara, M.
Author_Institution
Dept. of Electr. Eng., Mohamed V Univ., Agdal Rabat, Morocco
fYear
2014
fDate
14-16 April 2014
Firstpage
1008
Lastpage
1013
Abstract
This paper presents a comparative study of an indirect field oriented control (IFOC) of induction machine (IM) using an integral-proportional (IP), sliding mode (SMC) and intelligent technique based on a fuzzy logic (FLC) controllers for speed regulation. The traditional integral-proportional controller is sensitive to the load torque disturbances. The fuzzy logic control is a part of intelligent control which contain hard and soft computing. The approach of sliding mode control utilizes discontinuous control laws to drive the system state trajectory into a sliding or switching surface in the state space. The effectiveness of the IP, fuzzy logic and sliding mode controllers was tested under different conditions such as reference speed and load torque disturbances. The simulation results demonstrate that the proposed controllers are better robust than the traditional IP controller.
Keywords
PI control; asynchronous machines; fuzzy control; machine control; sampled data systems; state-space methods; variable structure systems; velocity control; FLC; IFOC; IM; IP control; SMC; discontinuous control laws; fuzzy logic controllers; hard computing; indirect field oriented control; induction machine; integral-proportional controller; intelligent control; intelligent technique; load torque disturbances; reference speed; sliding mode control; sliding surface; soft computing; speed control; speed regulation; state space; switching surface; system state trajectory; Regulators; Reliability; Switches; Intelligent control; Traditional IP controller; fuzzy logic controller; indirect field oriented control; induction machine; sliding mode controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Computing and Systems (ICMCS), 2014 International Conference on
Conference_Location
Marrakech
Print_ISBN
978-1-4799-3823-0
Type
conf
DOI
10.1109/ICMCS.2014.6911177
Filename
6911177
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