Revue des sciences et sciences de l’ingénieur
Volume 6, Numéro 2, Pages 01-09

Modelling, Simulation And Analysis Of Dsim Using Artificial Intelligent Controller

Authors : Sahraoui Khaled .


This paper presents an elaboration for speed control of dual stator induction motor (DSIM) using artificial intelligent controller. The main problem with the conventional fuzzy controllers is that the parameters associated with the membership functions and the rules depend broadly on the intuition of the experts. To overcome this problem, adaptive neuro-fuzzy inference system (ANFIS) controller is proposed in this paper. The elaboration allows to compare simulation results between classical and artificial intelligent controllers. The fuzzy logic controller (FLC) and ANFIS controllers are also introduced to the system for keeping the motor speed to be constant when the load varies. Comparison between PI, fuzzy and Adaptive neuro-fuzzy controller-based dynamic performance of DSIM drive has been presented. ANFIS-based control of DSIM will prove to be more reliable than other control methods. The performance of the DSIM drive has been analyzed for constant load and change in speed conditions.


Proportional Integral (PI); Fuzzy Logic Controller (FLC); Adaptive Neuro-Fuzzy Inference System (ANFIS); Dual Stator Induction Motor (DSIM).

Sacepaf+ An Intelligent Tutoring System Using A Learning Machine Copanian

Bouhadada Tahar .  Laskri Mohamed Tayeb . 
pages 329-342.

Quasi-static Indentation Modelling Of Aluminium Specimen Using Finite Element Analysis

Nirbhay Mayank .  Dua Mahima .  Dixit Anurag .  Sharma Satpal .  Misra R. K. . 
pages 1-11.

Fuzzy Logic Controller Using The Nonholonomic Constraints For Quadrotor Trajectory Tracking

Medjghou Ali .  Slimane Noureddine .  Chafaa Kheireddine . 
pages 51-59.