Mechanical Engineering Control Systems

Shreeprasad Jadhav

********@***.*** +1-906-***-**** Houghton, MI

PROFILE

Graduate student with Master's in Mechanical Engineering with specialization in Automotive Control Systems, Model Based Embedded Controls and Autonomous Systems. Actively seeking for Summer 2024 internship and Full-time. EDUCATION

Master of Science in Mechanical and Electrical Engineering,, Michigan Technological University

08/2022 – 04/2024 Houghton, United States

Bachelor of Engineering in Mechanical Engineering., Pune University

06/2015 – 06/2019 Pune, India

TECHNICAL SKILLS

Automotive Controls Model-Based Control Systems Rapid Prototyping HIL SIL MIL testing Robotics Automation CAN Communication Hybrid Electric Vehicle Powertrain Modelling and Testing ADAS SOFTWARE SKILLS

MATLAB Simulink Simscape ROS CAN communication PyChrono Python Creo C++ MS office Vector Canalyzer DSpace MotoTron MotoHawk

PROFESSIONAL EXPERIENCE

Graduate Research Assistant, Michigan Technological University 01/2024 – present

•Experience in MiL,SiL testing and Automation of Hybrid Electric Vehicles in PyChrono using Python.

•Developing Matlab Python interface and using it as input signal to drive the simulation in PyChrono and store the data.

•Comparing experimental and simulated results for tractive forces, velocity profile, throttle opening, etc. Graduate Teaching Assistant, Michigan Technological University 08/2023 – 12/2023

•Teaching Assistant of Design and Analysis of Control Systems for Graduate Students

•Assisting students to implementing Control Strategies like PID controller, Parameter Estimation, State Feedback Controller and Lead/Lag Compensators on BeagleBone Blue hardware using Matlab/Simulink. PROJECT EXPERIENCE

Development Of High-Level Controller For Configurable Hybrid Electric Learning Modules(HiL testing)

•Developed CHLEM as distributed and discrete control agents on MATLAB Simulink using Moto hawk blocks and validated on the ECU.

•Developed and validated Driving Mode Logic Control Sub Model to determine the driving mode of the vehicle in Electric Solo Mode, Engine Solo Mode, and Blending Mode. Remote Electronic Throttle Control (Hil Testing) Via Can Communication

• Developed a discrete PID controller model in the SIMULINK, to control the opening of a throttle valve of a BoschElectronic Throttle Control (ETC) module using CAN communication protocol.

•Monitored and analysed the CAN messages using Kavsar CANKing and performed real time calibration of CAN network.

Intelligent Cruise Control Design Modeling And Simulation

•Designed and Modeled feedback PI velocity controller with minimum % overshoot and steady-state error.

•Implemented Linear Quadratic Regulator (LQR) to maintain a safety headway distance from the leading vehicle.

•Incorporate the switching between velocity and headway control using the transient state condition in Stateflow. Enhancing Autonomous Navigation And Obstacle Avoidance In Ros Using Lidar Camera Sensor

•Establish and configure a robust ROS framework for seamless communication and control of the TurtleBot.

•Harness the power of LIDAR sensors to capture high-resolution, extract valuable information for navigation

•Wrote efficient Python code to Develop intelligent path planning algorithms that consider factors like the shortest route, energy efficiency, and real-time adjustments. Fuel Control In Spark Ignition Engine For Port And Direct Fuel Injectors

• Designed a Feedforward Transient controller using Exhaust Gas Oxygen Sensor to maintain air-fuel ratio.

•Implemented EGO sensor and Smith Predictor to compensate for the time delay in MATLAB & SIMULINK.

•Evaluated the robustness of the controller by using different parameter values in the controller.

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