GUNA SEKHAR KARRI

I am an ambitious and driven Control systems & Mechatronics engineer with a strong interest in emerging technologies . I am eager to gain hands-on experience and exposure in an industrial setting in order to further my professional development and growth. I am also an enthusiastic student who consistently strives to surpass my boundaries and gain valuable insights from every experience.

• Sensor fusion and nonlinear filtering
• Deep Machine Learning
• Robust and Nonlinear Control
• Model-based Development of Cyber-Physical Systems
• Model Predictive Control
• Linear Control System Design
• Modelling & Control of Mechatronic Systems
• Modelling & Simulation
• Discrete event Systems
• Applied Signal Processing

Balancing an Inverted Pendulum using H∞ Controller:

• Balancing the 2DOF pendulum by moving the two robot arm manipulators in order to keep the rod(turn in 2 orthogonal directions) in its upright position.
• A linear time invariant model topped up by uncertainties that originates from balancing a cup.
• This LTI model is used to develop robust and optimal output feedback H∞ controller that stabilizes the system and balance a cup on top of pendulum.

Modeling and Simulation of Quadrotor:

• Implemented core concepts of embedded control systems.
• Developed a mathematical model for orientation estimation in a Crazyflie 2.0 quadrotor.
• Designed a LQR (Linear Quadratic Regulator) controller and Complementary filter.
• Translated the controller and filter into C-code for real-time application on the hardware platform, ensuring responsive and stable control.

Orientation estimation using smartphone sensors:

• Developed and implemented an Extended Kalman Filter (EKF) for real-time orientation estimation by incorporating measurements from gyroscopes, accelerometers, and magnetometers obtained from a standard smartphone.

3-DOF Helicopter:

• Study focus on utilizing Simulink tools for linearizing a nonlinear model.
• Developed control design based on Linear Quadratic (LQ) optimization principles for elevation axis, travel axis, and travel axis speed.

Intelligent Knee Orthosis:

• Implemented sensor fusion using EMG (Electromyography) and IMU (Inertial Measurement Unit) sensors to enhance the system's functionality.
• Developed a PID (Proportional-Integral-Derivative) controller for precise torque management in a motor, facilitating improved knee mobility.

Cricket | Music | Travelling | Movies