MEENAKSHI T

@jit.ac.in

Professor /Electrical and Electronics Engineering
Jansons Institute of Technology

MEENAKSHI T


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https://researchid.co/mechand
18

Scopus Publications

222

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Hybrid Electrical Vehicle Designs
    Electric Vehicle Design Design Simulation and Applications, 2024
  • A Review of Electric Vehicles: Technologies and Challenges
    Electric Vehicle Design Design Simulation and Applications, 2024
  • Design and experimental analysis of novel window mill vertical axis wind turbine
    N. Suthanthira Vanitha, L. Manivannan, A. Karthikeyan, K. Radhika, T. Meenakshi
    International Journal of Engineering Systems Modelling and Simulation, 2024
    A novel window mill vertical axis wind turbine (VAWT) is introduced to utilise the maximum wind power to produce the electricity. The novel design improves the conversion ratio by overcoming the pressure imbalance on the existing blade design with maximum utilisation of wind energy and is capable of generating power, which is three times greater than the existing windmill design. The proposed window mill is enveloped by metal case with subways and huge walls on both sides to run the turbine even during low wind head for ensuring higher efficiency than existing windmills. A complete layout of VAWT blade design is presented including the calculation of theoretical maximum efficiency, practical efficiency, propulsion and blade loads. The ANSYS simulation and experimental results are presented. These results encourage and reinforce the conviction that vertical axis wind energy conversion systems are practical and potentially very contributive renewable energy system to produce the electricity. In addition, artificial intelligence-based vertical axis wind turbine is found to provide higher performance for wind speed with economical. The proposed window mill with metal case is capable of improving the efficiency by 52% even for low heads of wind speed.
  • Role of Modern Tools in Solar Thermal System Design
    C. Shanmugam, T. Meenakshi
    Solar Thermal Conversion Technologies for Industrial Process Heating, 2023
    The sun has a huge potential to meet the energy demands with environmental governance. The role of soft computing techniques is to enhance the energy consumption capacities from the sun, and artificial intelligence (AI) plays an inevitable role in optimizing the solar based energy systems. This chapter is intended to highlight the applications of artificial intelligence in the estimation and optimization of solar powered energy technologies. Different types of machine learning algorithms are efficiently used in prediction of global solar radiation and a comprehensive review of the techniques is provided in this chapter. The soft computing modern tools are deployed in the performance improvement and optimal design of solar thermal systems. This chapter presents an interpretation of AI in following solar based systems, including solar flat plate collectors, parabolic trough collectors with multivariate optimization of parameters, water-in-glass evacuated tube solar water heaters, solar energy systems with nanofluids, smart heliostat tracking system, and solar systems with economic Model Predictive Control. The chapter thus provides insights on new inspiration for the future study of integrated energy storage systems.
  • IoT Enhanced Induction Motor Drive in Electric Vehicle Propulsion Using Field Oriented Control
    N. Suthanthira Vanitha, A. Karthikeyan, R. Ramani, T. Meenakshi, S. Sujatha
    7th International Conference on Electronics Communication and Aerospace Technology Iceca 2023 Proceedings, 2023
    This research introduces an internet of things (IoT)-enhanced Direct Field-Oriented Control (FOC) (DFOC) method for induction motors (IMs), which is a novel way to improve the efficiency, flexibility, and dependability of electric vehicle (EV) propulsion systems. By decomposing the stator current into elements that generate flux and torque, vector control supplies smooth control of motor torque and speed. The goal of this research is to improve the efficiency of electric propulsion by developing a novel DFOC algorithm that is adapted to the dynamic requirements of EVs. The study provides a real-time monitoring framework that records and processes crucial motor and vehicle performance data by utilizing IoT technology. In addition to facilitating remote diagnostics and predictive maintenance, this framework offers fault detection and diagnosis algorithms with the resources it needs to reduce the occurrence of unexpected failures. Both theoretical analysis and experimental verification of components show that the suggested method has the potential to greatly improve the effectiveness, efficiency, and environmental friendliness of EV motors.
  • Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
    A. Karthikeyan, N. Suthanthira Vanitha, T. Meenakshi, R. Ramani, S. Murugan
    3rd International Conference on Innovative Mechanisms for Industry Applications Icimia 2023 Proceedings, 2023
    The implementation of electric vehicles (EVs) into photovoltaic (PV) grid systems has received a lot of interest as the globe moves towards a more sustainable energy environment. When it comes to electric transportation, battery charging and recharging are crucial because of the impact they have on the vehicle’s dynamic performance. Using a fuzzy-based bidirectional converter in a PV grid system, this research proposes a unique technique to increase the efficiency with which EV batteries are charged. With its fuzzy logic controller (FLC), the bidirectional converter optimizes charging and discharging operations by controlling the flow of electricity between the PV array, the EV battery, and the grid. In this research, the FLC, a flexible system that can adjust to different settings and loads, is examined in depth. The result shows the enhanced efficacy of the suggested system in terms of charging speed, energy efficiency, and grid interaction via modeling and experimental data. The described method shows possibilities for facilitating the incorporation of EVs into grids powered by renewable energy sources (RES), thereby making transportation systems greener and more sustainable.
  • IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
    R. Ramani, T. Meenakshi, N. Suthanthira Vanitha, A. Karthikeyan, S. Sujatha
    International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2023 Proceedings, 2023
    This study explores the design and implementation of Internet of Things (IoT)-enabled skin sensors for tracking UV exposure. It describes the planning, construction, and performance of the skin-mounted sensors. The sensors detect UV radiation in real time; it can monitor a person's exposure to the sun. This information is subsequently sent to IoT platforms for analysis and response. The IoT enables the remote collection of data, analysis, and personalized recommendations for sun safety measures. The research emphasizes the significance of UV exposure understanding in avoiding sunburn and skin cancer. The proposed system takes a preventative approach to sun protection by using wearable skin sensors and IoT to enable consumers to make informed choices regarding their outdoor activities and sun exposure patterns. The potential of such technology to improve public health and increase awareness of UV-related hazards is emphasized.
  • Power Quality Monitoring of a Photovoltaic System Through IoT
    T. Meenakshi, R. Ramani, A. Karthikeyan, N. Suthanthira Vanitha, S. Murugan
    International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023
    The stability and dependability of the grid are of crucial importance as the integration of photovoltaic (PV) systems into electricity grids gathers momentum. Because of their bidirectional power flow and intermittent energy production, PV grid systems present a variety of issues when it comes to power quality (PQ). Effective grid management and stability are limited by the fact that conventional monitoring techniques have difficulties in providing real-time insights into harmonics, voltage stability, and transient disturbances. PV grid systems can only function at peak efficiency if the electricity being transmitted and distributed is of the best possible quality. To address the challenge of power quality monitoring in PV grid systems, this research provides an innovative strategy utilizing Internet of Things (IoT) devices and incremental conductance (IC) Maximum Power Point Tracking (MPPT). Grid operators can immediately identify deviations and problems because of the system's continuous, real-time monitoring of vital power quality metrics, made possible by the IoT. The technology provides predicted insights into power quality fluctuations by analyzing past data and patterns, which improves grid stability and resource allocation. The PV grid system is implemented in Matlab tool and PQ variations may be accurately predicted using historical data, improving grid stability and resource utilization. The study's results will aid in the efficient incorporation of renewable energy sources into the grid by assuring optimum power quality in PV grid systems.
  • Stability analysis of quadrotor using state space mathematical modeling
    N. Suthanthira Vanitha, L. Manivannan, T. Meenakshi, K. Radhika
    Materials Today Proceedings, 2020
    Quadrotor, a small remote-controlled aircraft with four blades, has been a vital role to perform variety of tasks from the air. Quadrotor controller design and its modeling is a well-known field of research and is used in many civil and military applications, security purpose and filmmakers for aerial camera and videography. Most of the researchers have differently approached on quadrotor’s control and design modeling. The main aim of this paper is to model the quadrotor using state space mathematical expressions to analyse the stability of quadrotor. The state space mathematical modeling simplifies the implementation of control techniques on dynamics of quadrotor. This modeling computes the equilibrium points to analyse the stability and plant interaction of the system. The simulation results are presented using the state variables.
  • Parametric impact analysis on transformer based dual output Quasi Z DC-DC converter
    T. Meenakshi, N. Suthanthira Vanitha, K. Radhika, M. Maheshwari
    Materials Today Proceedings, 2020
    This paper presents the performance study of new Dual Output Quasi Z Trans DC-DC converter. The conventional Z source DC-DC converter is modified in the circuitry to generate dual output voltage which could be fed as input to the cascaded multilevel inverters feeding the renewable energy systems. This reduces source count requirement of the cascaded multilevel inverters and efficient operation is obtained by controlling the duty ratio of the converter. The proposed converter is studied for different switching frequencies and duty ratios to identify the optimum value. The circuit model of the proposed DC-DC converter is built in MATLAB /Simulink to analyze the performance and the prototype hardware is developed to validate the findings. The results are discussed and is compared with the literature findings.
  • Modified multilevel quasi z inverter for solar irrigation systems with improved control technique
    T. Meenakshi, N. Suthanthira Vanitha
    Proceedings of IEEE International Conference on Advances in Electrical Technology for Green Energy 2017 Icaetgt 2017, 2017
  • Power factor correction of four switch bldc motor drive using bridgeless-csc converter
    Akshatha R. Hegde, N Arun Kumar, T. Meenakshi, M Vishwanath Pai
    Proceedings of IEEE International Conference on Advances in Electrical Technology for Green Energy 2017 Icaetgt 2017, 2017
  • Modeling and simulation of novel stepped DC coupled quasi Z-Multilevel Inverter for single phase systems
    T. Meenakshi, N. Suthanthira Vanitha
    Archives of Electrical Engineering, 2016
  • Dual voltage control of reduced switch hybrid Quasi Z multilevel inverter for isolated energy systems
    Journal of Electrical Engineering, 2016
  • Improved performance of hybrid electric vehicles with novel reduced switch multilevel Quasi Z inverter
    Journal of Electrical Engineering, 2016
  • Certain investigations on power generation using repulsive magnets and new stepped DC coupled quasi Z-inverter
    Meenakshi THILLAINAYAGAM, Suthanthira Vanitha NARAYANAN, Sujithkumar SIVARAMAN
    Turkish Journal of Electrical Engineering and Computer Sciences, 2016
  • Cascaded multi-level inverter using 8051 microcontroller for PV applications
    International Journal of Applied Engineering Research, 2013
  • Investigations on solar water pumping system with extended self boost quasi impedance-source inverter
    T. Meenakshi, N. S. Vanitha, K. Rajambal
    2013 International Conference on Energy Efficient Technologies for Sustainability Iceets 2013, 2013

RECENT SCHOLAR PUBLICATIONS

  • A Review of Electric Vehicles: Technologies and Challenges
    NS Vanitha, L Manivannan, K Radhika, A Karthikeyan, T Meenakshi
    Electric Vehicle Design: Design, Simulation and Applications, 81-99 , 2024
    2024
    Citations: 6
  • Hybrid Electrical Vehicle Designs
    T Meenakshi, K Mahendran, NS Vanitha, C Shanmugam
    Electric Vehicle Design: Design, Simulation and Applications, 197-214 , 2024
    2024
  • Design and experimental analysis of novel window mill vertical axis wind turbine
    NS Vanitha, L Manivannan, A Karthikeyan, K Radhika, T Meenakshi
    International Journal of Engineering Systems Modelling and Simulation 15 (6 … , 2024
    2024
  • Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
    A Karthikeyan, NS Vanitha, T Meenakshi, R Ramani, S Murugan
    2023 3rd International Conference on Innovative Mechanisms for Industry … , 2023
    2023
    Citations: 56
  • IoT Enhanced Induction Motor Drive in Electric Vehicle Propulsion Using Field Oriented Control
    NS Vanitha, A Karthikeyan, R Ramani, T Meenakshi, S Sujatha
    2023 7th International Conference on Electronics, Communication and … , 2023
    2023
    Citations: 8
  • Power quality monitoring of a photovoltaic system through IoT
    T Meenakshi, R Ramani, A Karthikeyan, NS Vanitha, S Murugan
    2023 International Conference on Sustainable Communication Networks and … , 2023
    2023
    Citations: 60
  • IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
    R Ramani, T Meenakshi, NS Vanitha, A Karthikeyan, S Sujatha
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023
    Citations: 6
  • Role of Modern Tools in Solar Thermal System Design
    C Shanmugam, T Meenakshi
    Solar Thermal Conversion Technologies for Industrial Process Heating, 295-313 , 2023
    2023
    Citations: 2
  • THE USE OF EEG SIGNALS FOR BIOMETRIC PERSON RECOGNITION
    DRS VALARMATHY, A KARTHIKEYAN, DRT MEENAKSHI, ...
    IN Patent App. 202,241,046,686 , 2022
    2022
  • Study of Battery Management system using Buck Converter
    T Meenakshi, S Logitha, K Mahendran
    International Conference on Science, Technology, Engineering and Mathematics … , 2022
    2022
  • SOLAR ONLINE EV (ELECTRIC VEHICLE) BATTERY CHARGING SYSTEM
    DA Murali, A Karthikeyan, DM Sak, DR Ramesh, A Lakshminarayanan, ...
    IN Patent App. 202,241,008,961 , 2022
    2022
  • SMART PACEMAKER FOR HEART TRANSPLANT PATIENTS
    DT Meenakshi, V Vijitha, DR Ramani, M Sutharsan, S Sukhumar, ...
    IN Patent App. 202,241,005,759 , 2022
    2022
  • INFANT INCUBATOR PARAMETER SENSING & MONITORING THROUGH MICROCONTROLLER
    T Meenakshi, V Vijitha, R Ramani, M Sutharsan, S Sukhumar, ...
    IN Patent App. 202,241,005,759 , 2022
    2022
  • IoT‐based intelligent transportation system for safety
    N Suthanthira Vanitha, K Radhika, M Maheshwari, P Suresh, ...
    Cloud and IoT‐based vehicular ad hoc networks, 47-65 , 2021
    2021
    Citations: 12
  • Parametric impact analysis on transformer based dual output Quasi Z DC-DC converter
    T Meenakshi, NS Vanitha, K Radhika, M Maheshwari
    Materials Today: Proceedings 33, 4030-4039 , 2020
    2020
    Citations: 2
  • Stability analysis of quadrotor using state space mathematical modeling
    NS Vanitha, L Manivannan, T Meenakshi, K Radhika
    Materials Today: Proceedings 33, 4040-4043 , 2020
    2020
    Citations: 16
  • Power factor correction of four switch BLDC motor drive using bridgeless-CSC converter
    AR Hegde, NA Kumar, T Meenakshi, MV Pai
    2017 International Conference on Advances in Electrical Technology for Green … , 2017
    2017
    Citations: 1
  • Modified multilevel Quasi Z inverter for solar irrigation systems with improved control technique
    T Meenakshi, NS Vanitha
    2017 International Conference on Advances in Electrical Technology for Green … , 2017
    2017
    Citations: 4
  • Performance Comparison of BL-CSC Converter Fed Four Switch BLDC Motor with Power Factor Correction
    AKN AKSHATHA R HEGDE, MEENAKSHI T
    International Journal of Advanced Research in Electrical, Electronics and … , 2016
    2016
  • Certain investigations on power generation using repulsive magnets and new stepped DC coupled quasi Z-inverter
    T Meenakshi, NS Vanitha, S Sujithkumar
    Turkish Journal of Electrical Engineering and Computer Sciences 24 (2), 4648 … , 2016
    2016

MOST CITED SCHOLAR PUBLICATIONS

  • Power quality monitoring of a photovoltaic system through IoT
    T Meenakshi, R Ramani, A Karthikeyan, NS Vanitha, S Murugan
    2023 International Conference on Sustainable Communication Networks and … , 2023
    2023.0
    Citations: 60
  • Electric Vehicle Battery Charging in Grid System using Fuzzy based Bidirectional Converter
    A Karthikeyan, NS Vanitha, T Meenakshi, R Ramani, S Murugan
    2023 3rd International Conference on Innovative Mechanisms for Industry … , 2023
    2023.0
    Citations: 56
  • Identification of an effective control scheme for Z-source inverter
    T Meenakshi, K Rajambal
    Asian Power Electronics Journal 4 (1), 22-28 , 2010
    2010.0
    Citations: 29
  • Stability analysis of quadrotor using state space mathematical modeling
    NS Vanitha, L Manivannan, T Meenakshi, K Radhika
    Materials Today: Proceedings 33, 4040-4043 , 2020
    2020.0
    Citations: 16
  • IoT‐based intelligent transportation system for safety
    N Suthanthira Vanitha, K Radhika, M Maheshwari, P Suresh, ...
    Cloud and IoT‐based vehicular ad hoc networks, 47-65 , 2021
    2021.0
    Citations: 12
  • IoT Enhanced Induction Motor Drive in Electric Vehicle Propulsion Using Field Oriented Control
    NS Vanitha, A Karthikeyan, R Ramani, T Meenakshi, S Sujatha
    2023 7th International Conference on Electronics, Communication and … , 2023
    2023.0
    Citations: 8
  • Fuzzy logic controller for cascaded H-bridge multilevel inverter
    A Chitra, T Meenakshi, J Asha
    International Journal of Engineering Science and Technology 3 (2) , 2011
    2011.0
    Citations: 8
  • A Review of Electric Vehicles: Technologies and Challenges
    NS Vanitha, L Manivannan, K Radhika, A Karthikeyan, T Meenakshi
    Electric Vehicle Design: Design, Simulation and Applications, 81-99 , 2024
    2024.0
    Citations: 6
  • IoT-Integrated Wearable Skin Sensors for UV Exposure Monitoring and Sun Protection
    R Ramani, T Meenakshi, NS Vanitha, A Karthikeyan, S Sujatha
    2023 International Conference on Self Sustainable Artificial Intelligence … , 2023
    2023.0
    Citations: 6
  • Investigations on solar water pumping system with extended self boost quasi impedance-source inverter
    T Meenakshi, NS Vanitha, K Rajambal
    2013 International Conference on Energy Efficient Technologies for … , 2013
    2013.0
    Citations: 5
  • Modified multilevel Quasi Z inverter for solar irrigation systems with improved control technique
    T Meenakshi, NS Vanitha
    2017 International Conference on Advances in Electrical Technology for Green … , 2017
    2017.0
    Citations: 4
  • Modeling and simulation of novel stepped DC coupled quasi Z-Multilevel Inverter for single phase systems
    T Meenakshi, N Suthanthira Vanitha
    Archives of Electrical Engineering 65 (3), 437-448 , 2016
    2016.0
    Citations: 3
  • Role of Modern Tools in Solar Thermal System Design
    C Shanmugam, T Meenakshi
    Solar Thermal Conversion Technologies for Industrial Process Heating, 295-313 , 2023
    2023.0
    Citations: 2
  • Parametric impact analysis on transformer based dual output Quasi Z DC-DC converter
    T Meenakshi, NS Vanitha, K Radhika, M Maheshwari
    Materials Today: Proceedings 33, 4030-4039 , 2020
    2020.0
    Citations: 2
  • Electricity generation by employing repulsion magnetic technique in rotating machines
    T Meenakshi, S Sujithkumar, S Suganya
    International Conference on Advances in Engineering and Technology, 47-52 , 2014
    2014.0
    Citations: 2
  • Power factor correction of four switch BLDC motor drive using bridgeless-CSC converter
    AR Hegde, NA Kumar, T Meenakshi, MV Pai
    2017 International Conference on Advances in Electrical Technology for Green … , 2017
    2017.0
    Citations: 1
  • Digital implementation of fpga based pwm generator for cascade h-bridge multilevel inverter
    R Rajendra, A Chitra, T Meenakshi
    Links , 2009
    2009.0
    Citations: 1
  • Improved Performance Of Hybrid Electric Vehicles With Novel Reduced Switch Multilevel Quasi Z Inverter
    M Thillainayagam, S NARAYANAN
    Journal of Electrical Engineering, 350-359 , 0
    Citations: 1
  • Hybrid Electrical Vehicle Designs
    T Meenakshi, K Mahendran, NS Vanitha, C Shanmugam
    Electric Vehicle Design: Design, Simulation and Applications, 197-214 , 2024
    2024.0
  • Design and experimental analysis of novel window mill vertical axis wind turbine
    NS Vanitha, L Manivannan, A Karthikeyan, K Radhika, T Meenakshi
    International Journal of Engineering Systems Modelling and Simulation 15 (6 … , 2024
    2024.0