Présentation du Projet de thès de MohammadHosein Saeedinia

UNIVERSITÉ DU QUÉBEC EN OUTAOUAIS

Département d’informatique et d’ingénierie

Programme de doctorat en sciences et technologies de l’information 

INF9009 : Présentation du Projet de thèse

Jeudi 12 décembre 2024, 10h 30 par Teams

https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZTgwYWE0ZDktM2VhOC00NzEyLTkzNTItNTYxZGJiZTg3MGMz%40thread.v2/0?context=%7b%22Tid%22%3a%2278919324-3091-4581-8910-5fb6a22d5545%22%2c%22Oid%22%3a%227a37917b-c10f-4c42-87b2-1c52094f4b90%22%7d

Par : MohammadHosein Saeedinia

Titre : Computational Intelligence-Based Performance Analysis of a UAV Integrated PV Module Considering In-Flight Icing Phenomenon

Résumé:

 Solar UAVs leverage the availability of solar energy, offering substantial advantages such as extended flight endurance, higher fuel efficiency, and lower maintenance requirements compared to traditional fuel-powered UAVs. However, the UAV's movement and their flight environmental conditions, including atmospheric in-flight icing, pose significant challenges to the performance of the integrated photovoltaic (PV) module. These conditions impact the UAV's behavior in terms of maximum power point and its equivalent circuit unknown parameters that define PV module performance. This study presents a novel approach that utilizes various analytical, optimization, computational intelligence, and mathematical methods to analyze the impact of UAV-integrated PV module movement and operational factors, including in-flight icing, on the PV module system performance."

Président du Jury :                     Prof. Etienne St-Onge (UQO)

Membre du Jury interne :        Prof. Miloud Rezkallah (UQO)

Membre du Jury externe :       Prof. Abbas Rabiee (Université Laval)

Directeur de recherche :        Prof. Shamsodin Taheri (UQO)

Codirectrice de recherche    Prof. Ana-Maria Cretu (UQO)