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All Journal Buletin Ilmiah Sarjana Teknik Elektro International Journal of Robotics and Control Systems
Anwer, Noha
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Control & Systems Engineering Electrical & Electronics Engineering

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Dynamic Assessment and Control of a Dual Star Induction Machine State Dedicated to an Electric Vehicle Under Short-Circuit Defect Benbouya, Basma; Cheghib, Hocine; Behim, Meriem; Mahmoud, Mohamed Metwally; Elnaggar, Mohamed F.; Ibrahim, Nagwa F.; Anwer, Noha
International Journal of Robotics and Control Systems Vol 4, No 4 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i4.1557

Abstract

The widespread use of electric vehicles (EVs) in several industries gives rise to many significant safety and reliability-related issues. Thus, there is a need for methods for identifying flaws in EV components. In this paper, a state assessment of a dual star induction machine (DSIM) under short-circuit faults is investigated. The DSIM is selected due to its widespread use in high-power applications and its numerous advantages over other conventional machine types. Our focus is particularly on its application in the automotive industry, where its dual stator windings ensure reliable and robust parallel operation, thereby enhancing its robustness and efficiency. To improve this technology and ensure its proper functioning following potential failures and during maintenance, appropriate diagnostic and monitoring methods are essential. Our methodology combines two techniques: the current space vector (CSV), utilized to prevent information loss, and the wavelet packet decomposition energy, calculated from the resulting CSV signals. This approach enables the detection of various stator short-circuit faults, presenting different severities and occurring at different locations. The outcomes of this study, which were verified through the use of a Simulink model of a DSIM devoted to an EV, showcase the efficacy of the suggested approach. Furthermore, this work underscores the significance of this approach in maintaining the performance and reliability of DSIM, particularly in demanding environments such as the automotive industry.
Time-domain Simulation and Stability Analysis of a Photovoltaic Cell Using the Fourth-order Runge-Kutta Method and Lyapunov Stability Analysis Priyadarshini, M. S.; Ardjoun, Sid Ahmed El Mehdi; Hysa, Azem; Mahmoud, Mohamed Metwally; Sur, Ujjal; Anwer, Noha
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 2 (2025): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i2.13233

Abstract

This paper aims to analyze the nonlinear dynamic behavior of a photovoltaic (PV) cell under constant irradiance using numerical simulation and stability analysis. PV systems are inherently nonlinear and time-varying, making accurate dynamic modeling essential for control and performance optimization. Understanding how the system responds over time is critical for designing stable and efficient PV-based energy systems. A single-diode equivalent circuit model is used to represent the PV cell. The fourth-order Runge-Kutta (RK4) method is chosen for time-domain simulation due to its balance between computational efficiency and accuracy. A quadratic Lyapunov function is formulated to assess system stability by observing the sign of its time derivative. Simulation results show that the voltage reaches steady state smoothly with minor overshoot, and the current converges rapidly. The Lyapunov function decreases consistently, confirming asymptotic stability. The system demonstrates a maximum voltage error below 2% and low standard deviation, with consistent return to equilibrium despite changes in initial conditions. In conclusion, the proposed approach effectively characterizes the PV cell’s nonlinear dynamic behavior and confirms system stability under constant irradiance. The effectiveness of combining RK4 integration with Lyapunov analysis for modeling nonlinear PV dynamics ids demonstrated.
Utilizing Short-Time Fourier Transform for the Diagnosis of Rotor Bar Faults in Induction Motors Under Direct Torque Control Bousseksou, Radouane; Bessous, Noureddine; Elzein, I. M.; Mahmoud, Mohamed Metwally; Ma'arif, Alfian; Touti, Ezzeddine; Al-Quraan, Ayman; Anwer, Noha
International Journal of Robotics and Control Systems Vol 5, No 2 (2025)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v5i2.1886

Abstract

Industrial applications rely heavily on induction motors (IMs). Even though any IM problem can seriously impair operation, rotor bar failures (RBFs) are among the toughest to identify because of their detection challenges. RBFs in IMs can significantly impact performance, leading to reduced efficiency, increased vibrations, and potential IM failure. This research provides a thorough analysis of diagnosing these issues by detecting RBFs and evaluating their severity using three sophisticated signal processing techniques (Fast Fourier Transform (FFT), Short-Time Fourier Transform (STFT), and Discrete Wavelet Transform (DWT)). The three techniques (FFT, DWT, and STFT) are used in this work to assess the stator currents. An accurate mathematical model of the IM under RBFs serves as the basis for the simulation. The robustness of Direct Torque Control (DTC) is assessed by examining the IM's behavior in both normal and malfunctioning situations. Although the results show that DTC successfully preserves motor stability even when there are flaws, the current analysis offers some significant variation. The findings show that when it comes to identifying RBFs in IMs and determining their severity, the STFT performs better than FFT and DWT. The suggested method maintains low estimation errors and strong performance under various operating situations while providing high failure detection accuracy and the ability to discriminate between RBFs.
Microcontroller-based Prototype Model of a Solar Wireless Electric Vehicle-to-Vehicle Charging System with Real-Time Battery Voltage Monitoring Priyadarshini, M. S.; Mahmoud, M. Metwally; Sur, Ujjal; Ardjoun, Sid Ahmed El Mehdi; Hysa, Azem; Bessous, Noureddine; Metwally, Khaled A.; Anwer, Noha
Buletin Ilmiah Sarjana Teknik Elektro Vol. 7 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v7i3.13232

Abstract

The increasing adoption of electric vehicles (EVs) necessitates sustainable and efficient charging solutions, particularly in remote areas and emergency situations where conventional grid-based charging stations are inaccessible. This research presents an Arduino-based prototype model of the Solar Wireless Electric Vehicle-to-Vehicle Charging System (SWEV2VCS), integrating a TP4056 charging module, a microcontroller, and wireless power transfer (WPT) coils to facilitate efficient, autonomous charging. The system harvests solar energy through high-efficiency photovoltaic (PV) panels, which is then regulated and stored in lithium-ion batteries. The TP4056 module ensures safe and controlled charging by providing overcharge, over-discharge, and current regulation for battery protection. An Arduino-based microcontroller unit (MCU) is implemented to monitor and optimize power management, ensuring effective energy distribution and preventing inefficiencies. Wireless power transfer is achieved using electromagnetic resonance coupling, which enhances transmission efficiency over short distances. The system employs primary and secondary copper coils designed for resonant inductive coupling, enabling energy transfer between EVs without requiring a physical connection. The design and implementation include real-time battery voltage monitoring using an Arduino Nano and an I2C-based LCD display. The microcontroller measures battery voltage from an analogy pin, processes the data, and displays it on the LCD screen. The voltage sensing mechanism employs analogy-to-digital conversion (ADC) to ensure accurate readings. The LCD module provides real-time updates, enhancing user interaction and monitoring efficiency. The experimental setup verifies system functionality by continuously displaying voltage readings, facilitating better power management during wireless charging. This prototype serves as a fundamental step toward the development of automated, real-time monitoring systems in wireless EV charging applications.
Co-Authors Al-Quraan, Ayman Alfian Ma’arif Ardjoun, Sid Ahmed El Mehdi Behim, Meriem Benbouya, Basma Bessous, Noureddine Bousseksou, Radouane Cheghib, Hocine Elnaggar, Mohamed F. Elzein, I. M. Hysa, Azem Ibrahim, Nagwa F. Mahmoud, M. Metwally Mahmoud, Mohamed Metwally Metwally, Khaled A. Priyadarshini, M. S. Sur, Ujjal Touti, Ezzeddine