dSP ACE DS 1202 Based Real Time Implementation of Cuckoo Search Optimized FDTC of PMSM

Hassan, Amir Y.; Wahsh, S.; Badr, Mohamed

doi:10.1109/mepcon.2018.8635223

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…FL is considered as one of the most practically effective methodologies for exploiting the systems' qualitative knowledge to design a controller [24,25]. Moreover, there is no need for the systems' mathematical model in FL controllers to be included.…”

Section: Fuzzy-logic (Fl) Based Coordinated Controller Designmentioning

confidence: 99%

STATCOM controllers based on fuzzy PI approach

Shehata

Moteleb

El-Zahab

2020

IJEECS

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<span>The electricity companies enforced some legislation on the electricity consumption contracts because the electricity network cannot bear the increasing demands of consumers. Therefore, a new controlling system is required to improve the frequent variations of the power system operating point (OP). Consequently, the flexible AC transmission systems (FACTS) controllers should be able to integrate with recent OP. Coordination of FACTS controller is more sophisticated due to various OP and uncertainties parametric in cooperation with the non linearity of power system (PS). Static Synchronous Compensator (STATCOM) plays very important role like the stability support of large and small transient-disturbance in PS. Therefore, the aim of this research is presents fuzzy logic (FL) with the PI controller (a novel controller) its ability to improve the performance of the power system along with the capability of switch irregular and rough actual world data. This new controlling system may be suitable for a wide range of applications especially the models which deal with huge and complicated data analysis. This new controller system carries out the adjustments of the voltage on DC capacitor under transient and steady-state conditions.</span>

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Section: Fuzzy-logic (Fl) Based Coordinated Controller Designmentioning

confidence: 99%

STATCOM controllers based on fuzzy PI approach

Shehata

Moteleb

El-Zahab

2020

IJEECS

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“…Artificial intelligent (AI) proved effectiveness in solving many vital challenges [4]. There are different types of faults such as asymmetrical faults (line to ground, line to line, and two-lines to ground) and symmetrical fault.…”

Section: Introductionmentioning

confidence: 99%

Transformer Faults Classification Based on Convolution Neural Network

A. Elmohallawy,

Yassin Hassan,

F. Abdel-Gawad

et al. 2023

Int. j. electr. comput. eng. syst. (Online)

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This paper studies the latest advances made in Deep Learning (DL) methods utilized for transformer inrush and fault currents classification. Inrush and fault currents at different operating conditions, initial flux and fault type are simulated. This paper presents a technique for the classification of power transformer faults which is based on a DL method called convolutional neural network (CNN) and compares it with traditional artificial neural network (ANN) and other techniques. The inrush and fault current signals of the transformer are simulated within MATLAB by using Fourier analyzers that provides the 2nd harmonic signal. The 2nd harmonic peak and variance statistic values of input signals of the three phases of transformer are used at different operating conditions. The resulted values are aggregated into a dataset to be used as an input for the CNN model, then training and testing the CNN model is performed. Consequently, it is obvious that the CNN algorithm achieves a better performance compared to other algorithms. This study helps with easy discrimination between normal signals and faulty signals and to determine the type of the fault to clear it easily.

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“…In the past two decades, permanent magnet machines have attracted the researcher's attention due to their high power to weight and good dynamic performance and are considered highly efficient motors, and can be used in many applications. Permanent magnet synchronous motors (PMSMs) are divided into two categories: Axial flux permanent magnet synchronous motor (AFPMSM) and radial flux permanent magnet synchronous motor (RFPMSM) [1]− [4]. Because of their high-power density and small size, AFPMSM can…”

Section: Introductionmentioning

confidence: 99%

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

Hassan

Rohieem

Saleh

2022

IJPEDS

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Axial flux motors use less material and thus are inherently less expensive. They can also deliver a high-power density, which is four times that of a radial flux motor. That makes studying the control methods for this motor necessary. The purpose of this study is to introduce a new dynamic and steady-state response control technique for axial flux permanent magnet synchronous motors (AFPMSMs). Dynamic equations describe the control characteristics of axial flux permanent magnet motors. The AFPMSM model and the space vector pulse width modulation (SVPWM) inverter were created using MATLAB Simulink. For the AFPMSM motor with an SVPWM inverter, direct torque control (DTC) is provided. The results of the proposed control technique are simulated and analyzed, and it is found to provide good performance. According to the results, the proposed control method reveals advantages in reducing the ripples and pulsating of the torque while enhancing speed dynamic and steady-state response.

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dSP ACE DS 1202 Based Real Time Implementation of Cuckoo Search Optimized FDTC of PMSM

Cited by 4 publications

References 13 publications

STATCOM controllers based on fuzzy PI approach

STATCOM controllers based on fuzzy PI approach

Transformer Faults Classification Based on Convolution Neural Network

Direct torque control of non-salient pole AFPMSMs with SVPWM inverter

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