Nagapavithra
@ksriet.ac.in
Assistant Professor and Electrical and Electronics Engineering
KSRIET
completed her Ph.D in Anna University, Chennai in the field of Image processing. Completed her masters in Control systems in the year of 2016 in Mahendra Engineering College, Namakkal with first class (Distinction). She did her bachelor’s degree in Electrical and Electronics Engineering in Excel College of Technology with first class in the year of 2010. She published more than 10 papers in various reputed journals. She is currently working as an Assistant Professor in the Department of EEE in K S R Institute for Engineering and technology with 7 years of post-graduate teaching experience. Her research area focuses on control systems, image processing, Artificial intelligence, controllers for power quality correction.
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Control and Systems Engineering, Modeling and Simulation, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
S. Nagapavithra, C. Santha Kumar, Yuvarani. D, Parthipan. A, Priyanka. S, and Rindhiya. A
IEEE
Nowadays, electric vehicles have emerged all over the universe due to its zero toxic emission, energy saving and less maintenance. As a part of designing Electric vehicle, battery storage and management is a most important part as it stores the energy for the operation of electric vehicle. Along with this, there is need to manage a battery efficiently by overcoming long times of charging the vehicle and other ranges. To this end, this paper proposed an implementation of battery swapping station for Electric Vehicles with RFID authentication. It initiates the idea of implementing battery charging stations with IoT integration. It helps the users to easily replace their drained battery by new one by incorporating a swapping system using RFID authentication. Also, it utilizes an IoT-enabled platform for real-time monitoring and management. The integrated RFID tags attached to EV batteries and RFID readers at the swapping stations authenticate the users to check the compatibility and availability of the configured battery for their EV. With IoT integration, health, location, and usage patterns of the battery can be monitored centrally, hence increasing operational efficiency and minimizing downtime. The system also provides security through encrypted authentication protocols and offers mobile based applications to locate nearby swapping stations, reserve batteries, and track energy consumption. This solution addresses some of the major limitations of conventional charging infrastructures, such as waiting times, optimized battery utilization, and user convenience. It supports a sustainable and scalable EV ecosystem and will open the door for the widespread adoption and seamless integration of electric mobility.
S. Nagapavithra and S. Umamaheswari
Springer Science and Business Media LLC
P. Suganthi, S. Nagapavithra, and S. Umamaheswari
IEEE
BLDC motors characterized as permanent magnet synchronous motors. Since it has its own unique characteristics such as long life, good efficiency, remarkable starting torque, it has gained good momentum in market hence it is widely used in leading automobile industries. These motors nowadays greatly used in industrial sectors because their construction that suitable for any safety and critical application. They have several advantages over other motors like DC motor and induction motor. BLDC motor does not need any mechanical commutation. In this proposed method, the classical PID controller and fuzzy logic controller is used to make the system stable. Among the two types of fuzzification methods viz. Sugeno and mamdani, mamdani method of tuning is well suited. An Angle value of theta is given as gate signal for BLDC motor. The feedback controllers are directly connected to the inverter to find error which is directly given as input to the BLDC motor for getting a desired output speed. The various dynamic characteristics of BLDC motor such as speed, current and back emf are analyzed using MATLAB — SIMULATION.
S. Mahendran, S. Nagapavithra, and S. Umamaheswari
IEEE
Power factor correction (PFC) provides familiar benefits to avoid poor power factor consequence and to reduction bill value. Passive and Active power factor correction are the two methods currently using power factor correction techniques. This thesis try to develop an inverter with implemented energetic power factor correction approach for improve of the electricity issue. MATLAB software program is used to design Fuzzy common sense to control energy thing on BLDC Motor by using modern-day and voltage source inverter from single phase rectifier. The combination of current and voltage source inverter is known as Hybrid inverter. This methodology integrates the concept of fuzzy logic and hybrid inverter for controlling the output voltage of DC-AC inverter and also trying to improve an efficiency of the hybrid inverter through transient operation. In this planned model, a hybrid inverter is used for active PFC and current and voltage parameter having advantages of being physically isolated structure, can function as both step up and step down hybrid inverter and having only one step processing for current, voltage regulation and PFC. A version for strength factor Correction can be carried out the usage of the MATLAB software program.
S. Naga Pavithra and S. Umamaheswari
IEEE
In the recent years, usage of variable speed driving systems have been increasing in various applications like automobile industries, domestic appliances, etc., To save the energy consumption of a devices, there is a necessity in the usage of green and eco friendly electronics. It leads to the development of Permanent Magnet Brushless DC Motor (PMBLDCM). The improved power factor and closed loop speed control of PMBLDCM using closed loop Zeta converter are proposed in this project. In the proposed model, a closed loop zeta converter is used for active Power Factor Correction as well as for voltage regulation. It is having advantages of being naturally isolated structure, can operate as both step-up and step-down voltage converter and having a single stage processing for both voltage regulation and power factor correction. The wide range of speed control of PMBLDC motor is achieved by controlling the voltage of DC link capacitor of zeta converter. In this model, an active power factor correction is performed by using a zeta converter operating in Continuous Conduction Mode (CCM), where the inductor current must follow a sinusoidal voltage waveform. In addition to this, the sensorless scheme of feedback control is implemented in PMBLDC motor which reduces the usage of Hall position sensors. This method provides nearly unity power factor with low Total Harmonic Distortion (THD) and also the implemented scheme improves the power factor and wide range of speed control of Permanent Magnet Brushless DC (PMBLDC) motor.