The disorganized neural controller links the calculation of the delicate rationale to the architecture of a five-layer pseudo-nervous system. The classical PID controller was replaced by an Adaptive Neuro Fuzzy Inference system (ANFIS), that will be adjusts the thin induction framework with the calculation of learning in half and a half; this makes the thin framework for learning. A fuzzy nervous-based vector display controls a frame under control. This paper displays an optimal performance with speed controller based on the drive of a power system. The proposed Neural Fuzzy Control Unit combines of a thin Boolean arithmetic calculation and five layers mock neural network system (ANN) structure, which fine-tunes the delicate deduction framework with a half and a half learning arithmetic. This makes a thin framework for learning. The proposed drive recruiting engine exhibition controlled by neurotransmitters is examined in different working conditions. The consequences of the proposed console contrast with those obtained by a regular PI controller and Fuzzy Logic controller. The study of reproduction shows the drive’s strength and reliability for superior driving applications. Structural reconstruction is accomplished through applying of Matlab Verson 2019b. DC machine is a contextual search. Palatable results were obtained; this demonstrates the capability of the ANFIS console in control using a high non-linear dynamic frame and great results can be obtain by tuning the intelligent controller.
Mathematical description of electromechanical systems operation is powerful parameter to get high performance with practical implement of the systems. This paper describes a mathematical presentation for the behavior excitation system of synchronous generator based on the optimal values of the parameters. The study of the mathematical modeling for dynamics of excitation system required the knowledge for the effect of each parameter to get the typical values provided by the manufacturer implementing. The simulation of the final model which obtained was conducted on Matlab version 2019b. The final results of simulation for the mathematical model are satisfactory, and it proves the ability of independence this model as practical implement.
The ideas presented in this paper are intended to be representative the more straightforward application of the fuzzy mathematics techniques in power systems. When the 3-phases system is not symmetrical due to line to line current fault as a result of unbalanced load and unbalanced faults, the analysis is down by Symmetrical Component method after transform the fuzzy magnitudes into crisps quantities using the defuzzification technique. A computational problem with fuzzy impedance fault is presented.
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