Advanced Control and Path Planning of Unmanned Aerial Vehicles (UAVs)

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 2434

Special Issue Editors


E-Mail Website
Guest Editor
Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, 12135 Praha 2, Czech Republic
Interests: simulation; control and motion planning problems for unmanned aerial vehicles; formal methods in robotics and automation; model predictive control techniques; nonlinear optimization; human-robot interaction; communication-aware robotics; robot manipulators
Driver-Vehicle Automation Collaboration & Shared Control Lab, School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China
Interests: vehicle dynamics and control; autonomous vehicles; human-vehicle interaction; driver-vehicle automation; shared steering control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to announce a Special Issue focused on the advancements and challenges in unmanned aerial vehicles (UAVs). UAVs have emerged as indispensable tools in various fields, offering remote-controlled or onboard computer-piloted aircraft capabilities. Their applications span precision agriculture, package delivery, monitoring, search and rescue operations, and more. Particularly noteworthy is their ability to safely and securely conduct inspections in high or confined spaces.

However, ensuring the safe and optimal operation of UAVs requires high-quality sensors and advanced control technology. Without these crucial components, UAVs may fail to detect potential collisions and navigate past them. Therefore, the accurate control and optimization of UAVs' paths remain key challenges in this field. As a result, research efforts have rapidly increased to enhance the accuracy and performance of UAVs.

This Special Issue aims to collect articles that cover the recent developments in UAV technology and foster the exchange of knowledge on this topic among researchers in related fields. The scope of the research for this Special Issue encompasses various aspects, including aircraft control, path planning, trajectory optimization, and target tracking, among others. We invite submissions of original research articles and reviews, as we believe they will serve as valuable resources for researchers in the future.

We look forward to receiving your contributions and collaborating together in this exciting area of UAV research.

Specific topics of interest for publication include, but are not limited to, the following:

  • Advanced control techniques for UAVs;
  • Path planning and collision avoidance algorithms for UAVs;
  • Trajectory optimization for efficient UAV operations;
  • Target tracking and object detection in UAV applications;
  • UAVs for precision agriculture and environmental monitoring;
  • UAVs in package delivery and logistics;
  • UAVs in search and rescue operations;
  • Autonomous and swarm UAV systems;
  • Sensor fusion and perception for UAVs;
  • Communication and networking solutions for UAV swarms;
  • Safety and security challenges in UAV operations;
  • Energy efficiency and battery management for UAVs;
  • Machine learning and AI for autonomous UAVs;
  • Human–drone interaction and user interfaces;
  • UAVs in remote sensing and mapping applications;
  • Regulatory and ethical considerations for UAV operations;
  • Case studies and real-world applications of UAV technology.

Dr. Giuseppe Silano
Dr. Yahui Liu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

12 pages, 961 KiB  
Communication
Geometric Attitude Fault-Tolerant Control of Quadrotor Unmanned Aerial Vehicles with Adaptive Extended State Observers
by Liping Wang, Hailong Pei and Zihuan Cheng
Machines 2024, 12(1), 47; https://doi.org/10.3390/machines12010047 - 10 Jan 2024
Viewed by 1036
Abstract
This paper is concerned with the attitude tracking problem of quadrotor unmanned aerial vehicles (UAVs) with respect to endogenous uncertainties, exogenous disturbances and actuator failures. Two different control methods are proposed to solve this problem. First, an adaptive extended state observer (AESO)-based control [...] Read more.
This paper is concerned with the attitude tracking problem of quadrotor unmanned aerial vehicles (UAVs) with respect to endogenous uncertainties, exogenous disturbances and actuator failures. Two different control methods are proposed to solve this problem. First, an adaptive extended state observer (AESO)-based control framework is devised to tackle the difficulties caused by model uncertainties and external disturbances. A fault-tolerant control method is proposed to cope with the occurrence of actuator failure, which is modeled as a constant loss of effectiveness. Another method employs AESOs to compensate for lumped disturbances, which include endogenous uncertainties, exogenous disturbances and actuator failures. Then, the error can exponentially converge to a bounded set. Finally, simulations are performed to ensure the feasibility of the designed technique. Full article
(This article belongs to the Special Issue Advanced Control and Path Planning of Unmanned Aerial Vehicles (UAVs))
Show Figures

Figure 1

Back to TopTop