0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
Fractional-Order Model Prediction Attitude Control For Unmanned Aerial Vehicles
نویسندگان :
Hossein Hassanzadeh Yaghini
1
1- Faculty of Electrical and Computer Engineering University of Tabriz, Tabriz, Iran
کلمات کلیدی :
model prediction control،unmanned aerial vehicles،fractional-order control،attitude control
چکیده :
This paper introduces a novel fractional-order model predictive controller (FOMPC) designed for the attitude control of unmanned aerial vehicles (UAVs) under control signal constraints. The controller uses a fractional-order cost function considering the dynamics of the UAV and control signal constraints. The simulation results show that the FOMPC’s performance surpasses that of conventional model predictive control (MPC) in controlling the UAV’s attitude, confirming the applicability and validity of the proposed approach.
لیست مقالات
لیست مقالات بایگانی شده
Design of a Three-Stage OTA with Wide Capacitive Load Range Using Dual-Path and Q-Factor Compensation
Mohammadreza Abedi Orang
Design and Control of a Novel Multi-port Bidirectional Buck-Boost Converter Suitable for Hybrid Electric Vehicle Charging Stations
Amir Safaeinasab - Homayon Soltani Gohari - Karim Abbaszadeh
Towards Non-Invasive Deep Brain Stimulation Using Temporal Interference Method
Mehdi Gholami - Farshid Ghobadzadeh - Fatemeh Yazdanshenas - Amir Yazdani - Mohammad Neshat
Synergy of Deep Learning and Artificial Potential Field Methods for Robot Path Planning in the Presence of Static and Dynamic Obstacles
Mohammad Amin Basiri - Shirin Chehelgami - Erfan Ashtari - Mehdi Tale Masouleh - Ahmad Kalhor
Improved Generative Adversarial Network with Differentiable KS Distance
Siavash Sadeghi Ivrigh - Mohammadreza Hassannejad Bibalan - Asghar Keshtkar
User Management in Cell-Free Massive MIMO Systems with Limited Fronthaul Capacity
Siminfar Samakoush Galougah - Hamed Masoumi - Mohammad Javad Emadi
A novel CMRR Enhancement technique in fully-differential Class-AB OTAs
Amirhossein Sabour - Mahsa Ramezan Pour - Mohammad Yavari
یک روش مستقل از پارامترهای خطا بهمنظور تشخیص، دستهبندی و تعیین سکشن خطا در سیستم انتقال چند ترمیناله بر اساس تبدیل موجک گسسته
احسان اکبری - عبدالرضا شیخ الاسلامی
Kernel-Based Embedded Feature Selection for Motor Imagery Based BCI
Mehdi Kamandar
Medial Residual Encoder Layers for Classification of Brain Tumors in Magnetic Resonance Images
Zahra Sobhaninia - Nader Karimi - Pejman Khadivi - Shadrokh Samavi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.3.2