This repository is part of my diploma thesis titled "Development of Model Predictive Control (MPC) schemes for unmanned aerial vehicles using neural networks". The current project focuses on MPC controller design for controlling the altitude dynamics of the quadrotor as well as the x-y plane position

designing a MPC controller for quadcopter's rotational system in MATLAB

This is the code written for making Animation of Quadcopter model, we are using 'HGtransform' function for animate the trajectory of quadcopter

Simulation for the paper "An Adaptive Approach based on Multi-State Constraint Kalman Filter for UAVs" published in ICCAS 2021

MATLAB/Simulink. Quadcopter control system simulation based on linear controller and extensive visualisation.

Quadcopter with multibody, electrical and thermal models follows a path to deliver a package.

Quadcopter simulation with Simulink

Icarus is my Bachelors Thesis. Dynamical Equations Governing the QuadCopter Flying Motions. PID Control, Sliding Mode Control Strategies are Applied. Plus there are Flips!

Incremental Passive Fault-Tolerant Control for Quadrotors With up to Three Successive Rotor Failures

This model include; plant,controller,sensor,filter and disturbance models.

Simple x-config quadcopter simulator designed to work with keyboard inputs

A Matlab/Simulink model of a multirotor

Advantage Actor-Critic (A2C) reinforcement learning agent used to control the motor speeds on a quadcopter in order to keep the quadcopter in a stable hover following a random angular acceleration perturbation between 0-3 degrees per second in each of the control axes: pitch, roll, and yaw.

Simulation of a quoadcopter with a parallel pid controller

This project is used to estimate, isolate and diagnose faults for a quadcopter and a PVTOL and also use a methods to control the system by tolerating the fault. Both quadcopter and PVTOL systems have nonlinear dynamics. The ways for fault estimation in this project consist of nonlinear AO and linear PIO for the PVTOL and qLPV PIO for the quadcop…

Derivation of quadcopter nonlinear 6 degree of freedom equations is provided in this section

Matlab codes for comparing delayed Kalman filters, with application to the state estimation of a UAV.

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

3D Simulation of a quadcopter system in MATLAB. Controllable with keyboard input (note: no flight controller implemented)

Trajectory Generation For a Quadrotor written in both MATLAB and C++ for ROS