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 and S. Umamaheswari
Springer Science and Business Media LLC
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.
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.