VISWANATHAN K

*/***, ****** *****, *********,

Madurai-625019.

CONTACT DETAILS:

• Phone: 638-***-****,904-***-****.

• adj46h@r.postjobfree.com

• https://www.linkedin.com/in/viswanathan-

kalyanram-133321111/

SKILLS:

• Control Systems.

• Industrial Robotics.

PROGRAMMING AND TOOLS:

• MATLAB.

• R Programming.

• C .

• C++.

• Java.

• Scilab – Xcos.

EDUCATION:

• M.Tech – Control and Automation

Vellore Institute of Technology, Vellore

2018-2020

CGPA: 8.61

• B.Tech– Electrical and Electronics

Engineering

SASTRA Deemed University, Thanjavur

2014-2018

CGPA: 6.96

CERTIFICATIONS:

• Introduction to Programming in MATLAB.

• R Programming for Absolute Beginners.

• Programming for Everybody(Getting Started

with Python).

• Python Data Structures.

• Machine Learning.

• Model a Car and Design a PID Controller in

MATLAB/SIMULINK.

EXPERIENCE:

Control Systems Engineering Internship at

Decibels Lab from Nov 2020 to Dec 2020.

LANGUAGES KNOWN:

• Tamil(Read, Write, Speak).

• English(Read, Write, Speak).

• Hindi(Read, Write, Speak).

• Telugu(Speak).

ABOUT:

• A self-motivated Master’s graduate in Control and Automation, with a strong hold in Control Algorithms.

• Been an organiser in SASTRA Tamizh Sangam from 2017-2018, which makes me a pretty good communicator.

PROJECTS:

PID Control and Tuning(Nov 2020 – Dec 2020):

• This project focuses on the PID Controller and its tuning on a simple second order system, and analysing it’s time domain specifications.

• The tools used are Scilab and Xcos.

Flight Control System of Drones(Nov 2020 – Dec 2020):

• The main emphasis of this project is to design a control model of a drone, understanding its performance specifications and tuning for optimal flight.

• The tools in use are Scilab and Xcos.

Linear Model Predictive Control for a Rotary Flexible Link(July 2019– April 2020):

• This project focuses on practical application of a robotic arm movement(based on rotary flexible link) and its change with respect to time.

• MPC is done on a rotary flexible link to check if the performance is tracking the desired response, and its results are compared with a LQR controller.

• The tools in use are MATLAB and SIMULINK.

Visual Servoing based ILC for a Ball on Plate System (December 2018

– April 2019):

• The ILC is implemented on a ball on plate system and the efficiency can be measured.

• The 2 DOF Ball Balancer setup involves controlling the position of the servos to balance the ball on a plate based on X and Y position of the ball which is measured by the camera.

• The ILC modelling involves filter designing.

Current Cycle ILC for Motion Control Systems (July 2018 – November 2018):

• The aim of the learning control techniques is to minimize the magnitude of tracking error from one iteration to another.

• A typical feedback controller has problems mainly concerning with robustness to error modelling and rejecting the disturbance.

• These errors are reduced by a control technique known as Iterative Learning Control, where the input is updated based on feedback and error signal.

• The modelling of the ILC involves filter designing. Classification of Partial Discharge types using Case Based Reasoning

(December 2017 - May 2018):

• This project focuses on classifying partial discharge(PD) types into corona, cavity, surface and internal discharges.

• Case Based Reasoning(CBR) consists of four steps, Retrieve, Reuse, Revise and Retain.

• The accuracy of CBR tool increases with the addition of more defect cases and more PD data in an individual defect case. CONFERENCES:

• Participated in Academia Conclave in 2018.

• Took part in ICSET conferences in 2018 and 2019 as part of our college curriculum.

• Presented a paper in ICDAC 2020 titled “Implementation of ILC for speed control of Servo Motors: Applications to Robotic Vehicles”.

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