Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue

This project implements an advanced control system using a Neural Network-Fuzzy Logic-based Self-tuned PID Controller to optimize the performance and stability of an Autonomous Underwater Vehicle (AUV).

This repository showcases a hybrid control system combining Reinforcement Learning (Q-Learning) and Neural-Fuzzy Systems to dynamically tune a PID controller for an Autonomous Underwater Vehicle (AUV). The implementation aims to enhance precision, adaptability, and robustness in underwater environments.

Official repository of Artificial Neural Network-Based Adaptive PID Controller Design for Vertical Takeoff and Landing Model, which is presented in European Journal of Science and Technology.

MATLAB Simulink PID Controller for space robotics

Controlling a nonholonomic robot to follow a trajectory with a modified PID Controller.

A Master of Engineering Academic Project

A fractional order PID controller is tuned using genetic algorithm , to control the speed of DC motor

Robot Control using PID Controller and Kalman Filter

This project is an attempt to implement a speed control system for a DC Motor using the PID controller on MATLAB. To achieve this, we couple the output of motor to a control circuit which senses and rectifies the error in angular position and velocity till the desired pre-determined point. We study the Ziegler-Nichols Method for speed control an…

Implementation of a genetic algorithm to determine the parameters of the PID, PI-D, I-PD and PIDA controllers in order to compensate various benchmark processes, which are representative of many industrial applications. In particular, by considering separately a set-point and a load disturbance rejection unit step response the IAE is minimized b…

Active suspension system, quarter-car dynamic model, LQR controller & PID controller

🛸 Developed PID controllers for controlling quadrotors in 1-D, 2-D, and 3-D control in MATLAB simulation environment.

Mostly software recreations of published works.

Design of Optimal PID Controller for the Speed Control of DC Motor by Using Artificial Neural Network.

This was an assignment of the Modern Control Theory in 2020. Basically, it is a Matlab simulation about controlling a two-wheel robot to go to a destination and head to the predefined direction using PID controller.

A naive quadcopter simulator equipped with the mathematical model of the drone and its dynamics in the environment. Control methods are employed to fly the drone with the desired goals given the initial conditions.

Implementation of the Cuckoo Optimization Algorithm (COA) in MATLAB. The COA is a type of nature-inspired algorithm that is used for solving optimization problems, based on the brood parasitism of some cuckoo species.

MATLAB model for a quadricopter simulation