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attitude-multi-imu-filter

Extended Kalman filter for attitude estimation on a multi-IMU configuration

compute_relative_angle_between_two_imus

This github repository contains code to compute relative joint angles of two IMUs (MPU6050) using various algorithms.

control-of-quadcopter-under-actuator-fault

cpp

Implementation of All ▲lgorithms in C++ Programming Language

daily_arxiv

Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

digital-twin-approach-for-damage-tolerant-mission-planning-under-uncertainty

The digital twin paradigm that integrates the information obtained from sensor data, physics models, as well as operational and inspection/maintenance/repair history of a system (or a component) of interest, can potentially be used to optimize operational parameters of the system in order to achieve a desired performance or reliability goal. In this article, we develop a methodology for intelligent mission planning using the digital twin approach, with the objective of performing the required work while meeting the damage tolerance requirement. The proposed approach has three components: damage diagnosis, damage prognosis, and mission optimization. All three components are affected by uncertainty regarding system properties, operational parameters, loading and environment, as well as uncertainties in sensor data and prediction models. Therefore the proposed methodology includes the quantification of the uncertainty in diagnosis, prognosis, and optimization, considering both aleatory and epistemic uncertainty sources. We discuss an illustrative fatigue crack growth experiment to demonstrate the methodology for a simple mechanical component, and build a digital twin for the component. Using a laboratory experiment that utilizes the digital twin, we show how the trio of probabilistic diagnosis, prognosis, and mission planning can be used in conjunction with the digital twin of the component of interest to optimize the crack growth over single or multiple missions of fatigue loading, thus optimizing the interval between successive inspection, maintenance, and repair actions.

ekf_fusion

Using an Extended Kalman Filter to calculate a UAV's pose from IMU and GPS data.

gnss-ins-sim

Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation

hello-world

a learning start

imu_dataset

A dataset of various tests of inertial and magnetic sensors using an industrial robot as ground-truth

imusensormodels

This repository contains a C++ class for IMU sensor modeling.

kalmanfilter-vehicle-gnss-ins

In this project, I implemented a Kalman filter on IMU and GPS data recorded from high accuracy sensors.

modelling-simulation-and-implementation-of-linear-control-for-asymmetric-multirotor-uavs

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

pc_reasearch_poster

Showcase the research result of mine during Summer 2021 with a poster. I was hired by McGill EDA Lab to work on this result, so it is licensed under it. Therefore, I am not allowed to share my codes but only the demo.

pixhawk-px4-post-processing-code

Makes Post-Processing simple if you have multiple IMU's

prognosticsalgorithmlibrary

prognosticsmodellibrary

quad-sim

A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design

quadcopter-drone-model-simscape

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

quadcopter-quaternion-dynamics-in-simulink

Full quadcopter dynamics simulation using quaternion with propeller aerodynamics.

remainingusefullife

It is a collection of all kinds of feature extraction and recognition algorithms

robust-and-adaptive-control

soft-voting-demo

Application for soft voting algorithm demonstration

study-notes-math

读书笔记-数学

turbofan_usefull_life_prediction

given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a new jet engine that has measurements of the same sensor for a period of time equal to its current operational time.