Nivya Dileep

Goal-oriented EEE graduate with a solid foundation in electrical and electronic principles, seeking an entry-level engineering position to contribute technical expertise and innovative problem-solving skills. Eager to apply academic knowledge in a professional setting, collaborate with cross-functional teams, and contribute to the design and development of cutting-edge electrical systems and technologies.

Title: Robust Control of Variable Speed BLDC Motor Drive Using PID Controller

Description:
This project aimed to design, implement, and evaluate a control system for a Brushless DC (BLDC) motor drive capable of operating at variable speeds. The main focus was on achieving robust and efficient control using a Proportional-Integral-Derivative (PID) controller – a widely recognized and effective control strategy for motor drives.

Objective:
The primary objective was to develop a precise control algorithm for regulating the speed of the BLDC motor under varying load conditions, ensuring stability and minimal steady-state error.

Key Components:
BLDC Motor and Drive Setup:

Selection of a suitable BLDC motor and design of the required hardware for the motor drive system.

This included choosing appropriate power electronics components (MOSFETs/IGBTs) to build the motor inverter circuit.

PID Controller Design:

Design, tuning, and optimization of a PID controller to regulate the motor's speed by adjusting PWM signal duty cycles.

Control Systems Design:

Demonstrated expertise in designing control systems for motor drives using PID controllers, including tuning and optimization techniques.

Motor Control:

Strong understanding of BLDC motor operation and control methodologies.

Embedded Systems:

Proficiency in programming microcontrollers or DSPs for real-time control applications.

Simulation and Modeling:

Utilization of MATLAB simulation tools to model and analyze system behavior before hardware implementation.

Title: Smart Assistant for Visually Impaired

Description: 

This project aimed to create an intelligent and user-friendly assistant to support individuals with visual impairments in their daily activities, utilizing computer vision, text-to-speech, and speech-to-text technologies. 

Features: 

Computer Vision - Utilized advanced computer vision algorithms and image recognition techniques to describe objects, read text from images, and identify common objects and obstacles in the user's surroundings.

Text-to-Speech and Speech-to-Text - Integration of text-to-speech and speech-to-text functionalities for converting visual information into auditory feedback and vice versa. 

Skills Demonstrated: 

Machine Learning: Utilized machine learning techniques for training and optimizing computer vision models. 

Integration: 

Development of goggles capable of reading text, recognizing objects and faces, and featuring a smart speech assistant. 

Technologies: 

Utilized Raspberry Pi, OpenCV, Tesseract, and Python for implementing the solution.

Project 3: Title: Bluetooth-Controlled Robotic Car using Arduino  

Description: 

This project involved the creation of a Bluetooth-controlled robotic car using Arduino as the central microcontroller platform. The project combined hardware and software expertise to enable wireless control of the car's movements via a Bluetooth-enabled mobile device.  

Key Aspects: 

Hardware Setup - Assembly of the robotic car with chassis, wheels, motors, Arduino board (e.g., Arduino Uno), motor driver modules for speed and direction control, and a Bluetooth module (e.g., HC-05/HC-06) for wireless communication. 

Arduino Programming -  Implementation of algorithms for controlling the car's movements (forward, backward, left, right, stop) based on Bluetooth commands received from a connected mobile device. 

Mobile Application -  Development of a user-friendly mobile application (Android/iOS) allowing Bluetooth connection and control of the car's movements.

Skills Demonstrated: 

Hardware Integration - Assembly and integration of various hardware components for a functional robotic system. 

Programming - Proficiency in programming Arduino for motor control and Bluetooth communication. 

App Development - Creation of a simple mobile application for Bluetooth control.