Modeling and comparison of IP and fuzzy-pi regulators of speed control of DFIM for supply of power to the electrical network

Abstract

This paper deals with a comparison between a fuzzy logic controller and a conventional IP controller utilized for speed control with a direct stator flux orientation control of a doubly fed induction. The effectiveness of the proposed control strategy is measured under diverse operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the presence of parameter variation. Results obtained from simulation indicte that the fuzzy logic controller is more robust than a conventional IP controller against parameter variation and uncertainty, and is less sensitive to external load torque disturbance with a fast dynamic response; the stator side power factor is controlled at unity level. Then, an intelligent artificial fuzzy control of a wind energy system based on DFAM for supply of power to the electrical network. Its simulated performances are then compared to those of a classical PI controller.Specifically fuzzy systems are created to overcome the disadvantages of fuzzy systems.Results obtained in Matlab/Simulink environment show that the fuzzy control is more robust, have superior dynamic performance and hence found to be a suitable replacement of the conventional PI controller for the high performance drive applications.

A new scaled fuzzy method using PSO segmentation (SePSO) applied for two area power system

“…However, even though PSO or Ga strategies to scale the fuzzy is performing well in some cases, they may fail to ensure that the frequency response [10]- [12].…”