MEENAKSHI T
@jit.ac.in
Professor /Electrical and Electronics Engineering
Jansons Institute of Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
N. Suthanthira Vanitha, A. Karthikeyan, R. Ramani, T. Meenakshi, and S. Sujatha
IEEE
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.
T. Meenakshi, R. Ramani, A. Karthikeyan, N. Suthanthira Vanitha, and S. Murugan
IEEE
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.
R. Ramani, T. Meenakshi, N. Suthanthira Vanitha, A. Karthikeyan, and S. Sujatha
IEEE
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.
C. Shanmugam and T. Meenakshi
CRC Press
N. Suthanthira Vanitha, L. Manivannan, T. Meenakshi, and K. Radhika
Elsevier BV
Abstract 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.
T. Meenakshi, N. Suthanthira Vanitha, K. Radhika, and M. Maheshwari
Elsevier BV
Abstract 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.
Akshatha R. Hegde, N Arun Kumar, T. Meenakshi, and M Vishwanath Pai
IEEE
A performance comparison of Bridgeless-CSC converter with the diode bridge rectifier is proposed in this paper. The diode bridge rectifier is generally used to convert ac to dc. The power factor can be improved by employing the LC filter. The harmonic distortion in the supply is high reducing the power quality. But when these performance is of major concern, the Bridgeless-CSC converter can be implemented which improves those parameters. The output from proposed converter is fed to the BLDC motor. The BLDC motor with four switch reduces the switching losses. The BL-CSC converter has two switches in which one conducts at each half cycle reducing the conduction losses.
T. Meenakshi and N. Suthanthira Vanitha
IEEE
This paper presents the implementation of Dual voltage control in new modified Quasi Z Source inverter applied for solar water pumping systems. The new two stage inverter produces buck/boosted multi-level AC voltage with reduced circuitry, minimized inrush current and mitigated harmonics. During climatic disturbances, the proposed new topology can execute dual control over the inverter voltage and maintains a steady performance of the water pump. Operating conditions are set to have an effective smooth control over the voltage on both DC and AC side with minimized switching losses in the system. Mathematical modeling and simulations are performed in MATLAB/Simulink to analyze the effectiveness of the proposed dual control with solar water pump model. Experimentation is carried out on a prototype model to validate the performance.
T. Meenakshi and N. Suthanthira Vanitha
Walter de Gruyter GmbH
Abstract This paper presents the modeling and simulation of a novel topology of quasi Z-Multilevel Inverter with stepped DC input. The proposed inverter incorporates a simple switching technique with reduced component count and is aimed at producing boosted multilevel output AC voltage. The inverter consists of two stages and the buck /boost operation is obtained by varying the shoot through period of the pulses obtained by maximum constant boost control with third harmonic injection. With all the advantages of the quasi Z-network, the proposed inverter eliminates the fly back diodes and capacitors present in a conventional Z-Multilevel Inverter. Further the stress on the devices is less which leads to reduction in component value and hence the cost. The novel stepped DC coupled Single Phase quasi Z-Multilevel Inverter is modeled and simulated in the MATLAB - SIMULINK environment and its performance is analyzed for varying input and switching conditions. The voltage and current waveforms across each stage of the inverter is analyzed and the results are presented for different levels of input.
Meenakshi THILLAINAYAGAM, Suthanthira Vanitha NARAYANAN, and Sujithkumar SIVARAMAN
The Scientific and Technological Research Council of Turkey (TUBITAK-ULAKBIM)
This paper presents a novel approach for power generation from rotating machines in textile mills using externally coupled repulsive magnets and a new stepped DC coupled Quasi Z-inverter. Power is obtained as a byproduct of the effective harnessing of rotational energy with the use of repulsive magnets. This derived power is stored in a battery arrangement and is retrieved, buck/boosted, and converted to multilevel AC voltage with the new stepped DC coupled quasi Z-inverter. The proposed inverter is powered by isolated voltage sources, uses fewer switches, and produces less distortion in the resulting multilevel voltage compared to its counterpart, and thus reduces the filter requirements. The derived AC power from the system can be used for light-load applications in textile mills, thus compensating for the energy demands. Simulation of the entire proposed setup is performed in MATLAB/Simulink and the results are presented. The repulsive force produced by the magnets is assessed with K & J Magnet software. To validate the simulation, experimentation is done using rotating machines available in the laboratory. The prototype model of the stepped DC coupled quasi Z-inverter is used to study the performance of the system and the results are evaluated. The optimum modulation index is identified for different numbers of sources at the input.
T. Meenakshi, N. S. Vanitha, and K. Rajambal
IEEE
This paper proposes the new quasi impedance source inverter with increased boosting capability for solar water pumping system. The extended self boost quasi impedance source inverter has the advantage of increased boosting potential compared to the Z-source inverter and is expandable. This topology uses the same modulation technique that is adopted for the original ZSI. The proposed self boost inverter boosts the low voltage output of the PV modules used in the water pumping system thus reducing the number of PV panels required for the system. Therefore the system cost and space requirements are reduced considerably. A complete model of the solar water pumping system with the proposed inverter is developed in Matlab/Simulink. The system is analysed with simple boost method and the modulation index to obtain the optimum output is estimated through simulation. The discharge of the pump is analysed for varying solar intensities. The effect of variation in the modulation index is also studied in Simulink environment and the results are presented.