S P Sureshraj
@jjcet.ac.in
Assistant Professor, Department of Electrical and Electronics Engineering
JJ College of Engineering and Technology
is working as an Assistant Professor (Research) at J.J. College of Engineering and Technology, Tiruchirappalli, Tamil Nadu (India). He received Young Researcher Award from the Institute of Scholars (InSc). He is also recognized as a Reviewer for the Journal of Technology Innovation & Energy, InSc International Journal under the stream: Electrical & Electronics Engineering. Also has experience as Research Scholar at Yuan Ze University (Taiwan) and Industrial Engineer at Sakthi Electricals, SIDCO, Tiruchirappalli. Completed master's degree MS (Research) in Electrical Engineering at Yuan Ze University (Taiwan) with a Ministry of Education (MoE) Government of Taiwan Scholarship and Graduated B.Tech in Electrical and Electronics Engineering with Honors & Gold Medalist at Educational and Research Institute (Deemed to be University), Chennai, Tamil Nadu (India).
EDUCATION
B.Tech., EEE., M.S (Taiwan)
RESEARCH, TEACHING, or OTHER INTERESTS
Energy Engineering and Power Technology, Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Purushothaman Ramaiah, Ramakrishnan Narmadha, and Sureshraj Se Pa
MDPI
Sureshraj Se Pa, Mohamed Badcha Yakoob, Muthuveerappan Seetharaman, Jenita Daniel Victor, Kasthuri Arumugam, and Srimathi Muthukumaran
MDPI
Sivakumar P, Rathi Devi P, Sundararajan G, Sureshraj Se Pa, Nalini D, and Mohamed Badcha Y
IEEE
In general, electric motors that use the energy from the batteries are combined with IC engines to power hybrid electric vehicles. In this study, a pure hybrid electric car with no emissions is explored. Solar PV is coupled with electric motors and energy storage components. Solar energy, which is ubiquitous and abundant in nature, can be a fantastic replacement for traditional resources. The use of this technology will lessen the environmental pollution. Three parameters, including load demand, battery SOC, and solar power, are taken into account while allocating electricity.
Sureshraj Se Pa, Mohamed Badcha Yakoob, Priya Maruthai, Karthikeyan Singaravelu, Nalini Duraisamy, Rathi Devi Palaniappan, and John Britto Pithai
MDPI
: The combined action of Machine Learning and the control system algorithm is proposed in this Renewable Energy System. The reason for proposing this Renewable Energy System is because it is a clean energy source from nature and it is free of cost. Here, the Renewable Energy system includes the Solar PV. This energy system has a higher scope of installation in most countries. For that, we propose a controller which achieves high performance and Guarantees Stability. In this proposed system, the disturbance and Uncertain parameters are considered both internal and external parameters. To overcome this problem, the Robust Control design is already implemented in the Control Engineering Field to attain System Stability. Conversely, this proposed method is a new approach to examine the System Stability by combining Machine Learning Gaussian Process Regression (MLGPR) with the Robust H-infinity Controller. The approach used in Machine Learning-GPR consists of gathering data of the initial system and gradually decreasing the Uncertainty, which results in an improvement of the performance. Finally, ML-GPR learns a model with Uncertainty bounds. We combined the model with a Control Framework (i.e., H-infinity Controller) that Guarantees Stability for this uncertain model. The design Environment used for the experimental verification is MATLAB/Simulink software. The Simulation Results confirmed the effectiveness of the newly proposed Control Strategy.