Farid Hashemi

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Received Jul 27, 2014 Revised Sep 16, 2014 Accepted Sep 30, 2014 This paper presents a hybrid approach involving signal to noise ratio (SNR) and particle swarm optimization (PSO) for design the optimal and intelligent proportional-integral-derivative (PID) controller of an automatic voltage regulator (AVR) system with uses an adaptive neuro fuzzy inference(More)
Nowadays renewable energies have taken special place in the world, and most of the distributed generations (DGs) in the power systems utilize these types of energy resources. Due to the DG's advantages, including using of renewable energy which does not polluting environment and having endless nature, the use of these resources to produce electrical energy(More)
This paper presents an intelligent Proportional Integral Derivative (PID) controller for Automatic Voltage Regulator (AVR) system using Adaptive Neuro Fuzzy Inference System (ANFIS). In the proposed method, the PID controller parameters are tuned off line by using combination of Signal to Noise Ratio (SNR) and Particle Swarm Optimization (PSO) algorithm to(More)
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