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Madaci Mansour
Departement of Electrical Engineering, National Constantine University, Road Ain Elbay
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Self-Tuning VGPI Controller Based on ACO Method Applied for WTGS system Madaci Mansour; Djallel Kerdoun
International Journal of Advances in Applied Sciences Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1377.16 KB) | DOI: 10.11591/ijaas.v6.i2.pp162-174

Abstract

The stability and the fast response are two parameters to evaluate the efficiency of any system, and the acknowledgement of the mathematic model studied and its parameters are strongly required. In order to build the regulation and the control of the system, different methods are used. Some are traditional (PI, PD, PID…); whereas, others are modern (Fuzzy logic, neural networks, statistical algorithms, genetic algorithms, VGPI and so on…).In this paper, we focused on the presentation of a new method which we call the scheduling regulation based on a particle swarm optimization. A stochastic diffusion search method that takes inspiration from the social behaviors of real ants with their environment. Ant colony optimization algorithms (ACO) presents a promising performance which is a self-organized regulation system with no need to the acknowledgment of both the mathematic model and the parameters of the systems from a side, and it can insure the stability and the fast response of the system from another side.
Co-Authors Djallel Kerdoun