Paper Title :Design A Hybrid Intelligent Controller (Fuzzy-Based Ant Colony Algorithm) For Improving A Tracking Performance of Actual Output Response of SEDC Motor Under The Effect of External Disturbances
Author :Ahmad M.El-Fallah Ismail, Rajiv Ranjan Tewari
Article Citation :Ahmad M.El-Fallah Ismail ,Rajiv Ranjan Tewari ,
(2013 ) " Design A Hybrid Intelligent Controller (Fuzzy-Based Ant Colony Algorithm) For Improving A Tracking Performance of Actual Output Response of SEDC Motor Under The Effect of External Disturbances " ,
International Journal of Electrical, Electronics and Data Communication (IJEEDC) ,
pp. 01-06,
Volume-1,Issue-2
Abstract : For electrical drives good dynamic performance is mandatory so as to respond to the changes in command speed
and torques, so various speed control techniques are being used for real time applications. The speed of a DC motor can be
controlled using various controllers like PID Controller, Fuzzy Logic Controller, Ant Colony Algorithm (ACA) and Hybrid
Fuzzy-ACA Controller. Fuzzy-ACA Controller is recently getting increasing emphasis in process control applications. The
paper describes application of Hybrid Fuzzy-ACA Controller in an enhancement of stability and accuracy of the SEDC
Motor under the effect of the external disturbances and noise that is implemented in MATLAB/SIMULINK. The simulation
study indicates the superiority Hybrid Fuzzy-ACA Controller over the Ant Colony Algorithm (ACA) and fuzzy logic
controller separately. This control seems to have a lot of promise in the applications of power electronics. The speed of the
SEDC motor can be adjusted to a great extent so as to provide easy control and high performance. There are several
conventional and numeric types of controllers intended for controlling the SEDC motor speed and executing various tasks:
PID Controller, Fuzzy Logic Controller; or the combination between them: Fuzzy-Swarm, Fuzzy-Neural Networks, FuzzyGenetic Algorithm, Fuzzy-Ants Colony, Fuzzy-Particle Swarm Optimization. We describe in this paper the use of Ant
Colony Algorithm (ACA) for designing an optimal fuzzy logic controller of a SEDC Motor. In this case, our approach will
optimize the membership functions of a fuzzy logic controller (FLC) using ACA and the obtained results were simulated on
Matlab environment. Excellent flexibility and adaptability as well as high precision and good robustness are obtained by the
proposed strategy.
Type : Research paper
Published : Volume-1,Issue-2
DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-133
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Published on 2014-01-20 |
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