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19 articles for “Synchronous Machine”
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Prediction of Excitation Current of Synchronous Machines Based on Neural Network Model
Abstract: There are several difficulties found to estimate the excitation current & and optimum input parameters of synchronous motors. Heuristic methods are frequently used to weightt the problem's parameters or optimum coefficients. As a result, a neural network model is modified in this study to explore the best parameters and estimate the excitation current of a synchronous motor with minimal prediction errors for both the testing dataset and cross validation. Excitation …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 1, 2023 · pp. 28–33 Read article
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Alternating Inertia-Based Virtual Synchronous Machine Control for Improved Frequency Regulation of Energy Storage Systems
Abstract: The rapid integration of renewable energy sources (RESs), particularly solar photovoltaic and wind energy systems, has significantly increased the penetration of power electronic converter-based distributed generators (DGs) in modern power systems. While these technologies provide substantial environmental, economic, and sustainability benefits, their widespread deployment has introduced new operational challenges. One of the major concerns is the reduction of system inertia and damping due to the replacement of conventional synchronous generators …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 Read article
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Enhancement of Power Quality in a DG-Integrated Smart Grid Using UPQC
Abstract: The goal of this presentation would be to demonstrate how an upqc conditioner may be used to improve the strength of a dispersed energy (DG) system (UPQC). Despite the potential advantages of DG, which include increased energy supply, reduced power system growth, and environmental friendliness, there are numerous problems assimilating DG into the system or sustaining it in standby mode. Voltage profile (PQ) is a significant technological barrier in dispersed …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 29–34 Read article
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Real-time Monitoring of Alternator Using LabVIEW
Abstract: This paper mainly focuses on safety of students while performing lab experiments on machines like alternator, DC motor, Induction generator and synchronous machines etc. The problem arises in 3 phase alternator, where a student unintensionly touches the shaft part of the appratus. This may cause serious injury to student. To avoid this, some preventive mesaure should be taken . A software based pereventive measure is suggested in later part of …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 1, 2017 · pp. 30–34 Read article
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Dynamic Characteristic of Permanent Magnet Assisted Self Excited Synchronous Reluctance Generator
Abstract: AbstractThe use of self-excited synchronous reluctance generator is gaining interest due to its simplicity and inexpensiveness in terms of manufacturing. The problem of this machine which is best suited in a standalone application is that it has poor power factor. This paper presents a comparative study of a PM assisted synchronous reluctance generator with a regular reluctant generator. The machine was studied using rotor rotating frame and embedded MATLAB was …
Published in Journal of Instrumentation Technology & Innovations · Vol. 10, Issue 1, 2020 · pp. 1–11 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Modeling and Performance Analysis of Electrical Vehicle with SPWM Inverter-fed IPMSM Taking Core Loss into Account
Abstract: Because of the advantages of electrical differentials, people are becoming more interested in using them rather than using mechanical differentials. The mechanical differentials are replaced by using the two rear motors. In the electrical vehicle (EV) different types of electrical machines such as induction motor, permanent magnet synchronous motor etc. are used. The design of a controller is a challenging work, as the output of the motor has to match …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 1, 2016 · pp. 7–16 Read article
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Design and Analysis of EV Controller using IPMSM Taking Core Loss into Account
Abstract: Now a days vehicles with electrical differentials are becoming more and more popular. The mechanical differentials are replaced by using two motors. In the electrical vehicle (EV) different types of electrical machines such as induction motor, permanent magnet synchronous motor etc. are used. The controller design for the different motors is a fascinating and challenging work to obtain desired performance properly. The interior-permanent magnet synchronous motor (IPMSM) has already been …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 2, 2015 · pp. 1–8 Read article
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Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Multi-Screen Interface Applications in Graphical User Interface for Ornamental Efficiency in Computer Programming
Abstract: Use of multi-screen interfaces for graphical user interfaces (GUIs) has transformed the way we do computer programming by improving the speed, efficiency and usability. Also, these interfaces help programmers multitask easily by decoupling the different functionalities, code debugging, and data visualization in real-time through multiple terminals which cuts down context switching, thus maintaining workflow organization. Multi-screen GUI applications enable developers to organize their workspace and work efficiently, with customized or …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 27–31 Read article
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Dynamic Integration and Control of Fixed-Sp eed Wind Generation System with Multimachine System
Abstract: Since the average life of a wind generator is about 20 years, many of the wind systems will be employingconventional fixed-speed cage generators in spite of the superiority of the variable-speed devices. As theextent of wind integration continues to grow, the wind parks may need to be integrated with AC power grids.The integration to grids, particularly to weak ones, may give rise to transient conditions detrimental to boththe asynchronous as …
Published in Journal of Power Electronics and Power Systems · Vol. 1, Issue 1-2-3, 2011 · pp. 14–27 Read article
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Survey on Analysis and Simulation of Permanent Magnet Synchronous Motor (PMSM) under Vibration Effect using Analytical Magnetic Field Calculations
Abstract: In several application domains, induction motor drives have been steadily being replaced in recent years by permanent magnet synchronous motor (PMSM) drives. Due to the compactness, efficiency, resilience, reliability, and shape adaption to the working environment of PM motors, this is starting to become a trend. In high performance applications demanding quieter operation, permanent magnet synchronous motors are widely used. Instead of torque ripples and cogging torque, electromagnetic forces are …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 2, 2022 · pp. 26–33 Read article
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The Impact of High-speed Networks on HFT Performance
Abstract: This study provides an in-depth examination of the critical role that high-speed networks play in the operations of high-frequency trading (HFT) firms. High-speed networks, characterized by their low latency and high bandwidth, facilitate the rapid, efficient transmission of massive quantities of data, a capability that is vital to the success of HFT strategies. We explore the core infrastructure that enables high-speed trading, from high-performance servers and switches to network interface …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 1, 2024 · pp. 1–8 Read article
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A Review on Automatic Railway Gate Control System
Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 1–7 Read article
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Developing a Model in Matlab/Simulink Environment for Induction Motor Considering Core Loss and Stray Load Loss
Abstract: This paper focuses on a Matlab/Simulink model of a squirrel-cage induction motor with consideration of core loss and stray load loss. This model is based on some mathematical expressions and also described through an equivalent circuit including core loss and stray load loss. The model of induction motor has been developed based on the state space equations in a synchronously rotating reference frame, where core loss and stray load losses …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 1–12 Read article
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Literature Review and Research Gaps in Power Quality Enhancement: From Conventional Methods to Intelligent Solutions
Abstract: Power quality (PQ) has become a critical concern in modern electrical power systems due to the rapid integration of renewable energy sources, proliferation of power electronic devices, and increasing sensitivity of loads. This paper presents a comprehensive literature review and research gap analysis of power quality enhancement techniques, ranging from conventional approaches to emerging intelligent solutions. Traditional methods, including passive filters, capacitor banks, and synchronous condensers, have been widely employed …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 38–80 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Strengthening Low Voltage Ride-Through in Wind Energy Systems: A Comparative Study of DVR and STATCOM
Abstract: This study looks at the various methods used to improve the low-voltage ride-through (LVRT) capabilities of wind turbine systems (WT) that are based on double-fed induction generators (DFIG). The Type-III WT machine, which is mostly based on DFIG, is instantly connected to the grid without the digital power interface, making the terminal voltage or reactive electricity output unmanageable. This is because the world utilizes between 20% and 25% of renewable …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 47–62 Read article