sujankummara
sujankummara
- 94%Ukończonych Prac
- 100%W Budżecie
- 99%Na czas
- 12%Ponowny angaż
Pozycje w Portfolio
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Weather Data - Interpolation, Curve-fitting, etc Zobacz
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Generation profile of Solar PV plant with Battery Storage Zobacz
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Weather Data Analysis and Report Generaiton Zobacz
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Linear Systems & Control - Physical System Modeling Zobacz
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MATLAB - Basic Electrical Circuit Implementation Zobacz
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Notch Filter Solving and MATLAB code Zobacz
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Power System with Droop control Zobacz
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Control Systems with MATLAB Zobacz
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Fourier Analysis with MATLAB Zobacz
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Wind Power Estimation for a selected locaiton Zobacz
Ostatnie oceny
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Project for Sujan Kumar K.
$3.00 USD
“Sujan Provided trustworthy work. Thanks a lot”
Vijay B. 5 lat temu -
Electrical Project Writing
€300.00 EUR
“I highly recommend Sujan Kumar K. for Writing task/Matlab/Simulink/Electrical Engineering Task. He is really professional. I will hire him again for sure. He is a great freelancer who delivers excellent work within limited time and high quality. I strongly recommend. Furthermore, he is professional freelancer provides perfect work in a challengeable deadline. Work is very good also perfect communication. Definitely hire for next project.”
Jay R. 5 lat temu -
Matlab Code
$105.00 USD
“A+, great work, good communication, will hire again”
K C. 5 lat temu -
Project for Sujan Kumar K. -- 18/11/15 13:15:12
$30.00 AUD
“PROFESSIONAL”
Josef O. 5 lat temu -
Project for Sujan Kumar K.
$125.00 AUD
“Outstanding”
Josef O. 5 lat temu -
MATLAB EXPERTS IN TAMILNADU, INDIA
₹777.00 INR
“time waster. he didn't complete my project.”
Nasrin F. 5 lat temu
Wykształcenie
M. Tech (Electrical Engineering)
2009 - 2011 (2 years)B.Tech (Electrical Engineering)
2004 - 2008 (4 years)Kwalifikacje
IBM Data Science Professional Certificate (2020)
Coursera[login to view URL] The certificate is issued on completing below courses: -Applied Data Science Capstone -Databases and SQL for Data Science -Data Visualization with Python -Python for Data Science and AI -Tools for Data Science -Machine Learning with Python -What is Data Science? -Data Science Methodology -Data Analysis with Python
Publikacje
Power control of grid connected doubly fed induction generator using Adaptive BackStepping approach
This paper presents the investigation of decoupled power control of grid-connected doubly fed induction generator (DFIG) based on ABSC technique. The ABSC technique offers stabilizing procedure wherein unwanted cancellation of favourable nonlinearities can be avoided. The proposed controller improves both transient and steady state performances due to the excellent tracking response for the given power references. Numerical simulations are carried out in MATLAB for laboratory DFIG test set up.
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