جستجوی مقالات مرتبط با کلیدواژه "کنترل کننده فازی-عصبی" در نشریات گروه "برق"

The robust carrier tracking is defined as the ability of a receiver to determine the phase and frequency of the input carrier signal in unusual conditions such as signal loss, input signal fading, high receiver dynamic, or other destructive effects of propagation. An implementation of tight tracking can be understood in terms of adopting a very narrow loop bandwidth that contradict with the requirements for tracking high user dynamics. Such a trade-off becomes the critical point and the main limitation of robust carrier tracking, since both noise rejection (and equivalently, recovery of the lost signal power) and agile carrier tracking must be appropriately balanced to avoid penalizing the performance criteria of the specific application under analysis. In practice, bandwidth must be adaptive so that with respect to input noise and dynamic values, optimal bandwidth could be chosen. In this article, first different carrier tracking systems is reviewed and their related features and applications are studied and determined. Then, with comparing existing methods it is shown that, the proposed intelligent type-2 neuro-fuzzy controllers in tracking system provide results that are more acceptable than others because of overcoming the uncertainties in the received carrier signal and environmental conditions.

Sub-synchronous resonance usually occurs at the wind farms that connected to series compensated transmission lines. At this paper, a neuro fuzzy controller is designed for the new method of damping sub-synchronous oscillations using doubly-fed induction generator (DFIG) convertors. The adaptive neuro fuzzy inference system (ANFIS) approach is used to train the proposed neuro fuzzy controller according to the various values of the SSR damping controller (SSRDC) gain. It is shown that using the designed neuro fuzzy controller improve the performance of the damping controller and decrease the overshoot and settling time of the oscillations. The appropriate input signal for SSRDC and the optimum point to apply the output signal identified according to the residue-based analysis in the system and its gain is determined based on the root-locus diagrams. instability due to SSR is shown by modal analysis and time domain simulations. The IEEE first benchmark model is used in this study and simulations are done using MATLAB.