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State Estimation, Control, and Motion Planning of Unmanned Aircraft Systems (UASs)

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".

Deadline for manuscript submissions: closed (20 February 2023) | Viewed by 2307

Special Issue Editors


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Guest Editor
Department of Avionics and Control Systems, Rzeszow University of Technology, Powstancow Warszawy 12, 35-959 Rzeszów, Poland
Interests: air transport; control systems of aviationtransport; mechanical engineering; machines construction and exploitation
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Applied Computer Science and Armament Engineering, Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, al. Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Interests: optimal control; control theory; system modeling; systems dynamics; system dynamics modeling; modeling and simulation; nonlinear dynamics

E-Mail Website
Guest Editor
Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, Aleja Tysiąclecia Pństwa Polskiego 7, 25-314 Kielce, Poland
Interests: control systems; mechatronics; system dynamics modeling; MATLAB simulation; UAV; flight simulation; flight dynamics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Avionics and Control, Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, 12, 35-959 Rzeszow, Poland
Interests: control of mechanical systems; aviation control systems; measurements of electrical and non-electrical quantities; humans in control processes

Special Issue Information

Dear Colleagues,

Unmanned aircraft systems are developing rapidly. Several control algorithms are being tested for use on-board UASs. Additionally, the use of data fusion and virtual sensor algorithms offers several new possibilities. Another important topic is autonomous navigation and autonomous flight plan change.

This Special Issue of Applied Sciences on “State Estimation, Control and Motion Planning of Unmanned Aircraft Systems (UASs)” focuses on the broad topic of UAV state estimation, control algorithms and motion planning. Theoretical and empirical articles related to unmanned flying systems (all configurations, including but not limited to fixed-wing aircraft and rotorcraft) are welcome.

Dr. Grzegorz Henryk Kopecki
Prof. Dr. Zbigniew Koruba
Dr. Izabela Krzysztofik
Dr. Jacek Pieniążek
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. Applied Sciences is an international peer-reviewed open access semimonthly 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.

Keywords

  • UAS control algorithms
  • measurement systems
  • data estimation
  • virtual sensors
  • data fusion
  • autonomous navigation
  • artificial intelligence in UAS

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Published Papers (1 paper)

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Research

28 pages, 5525 KiB  
Article
Robust Backstepping Control Combined with Fractional-Order Tracking Differentiator and Fractional-Order Nonlinear Disturbance Observer for Unknown Quadrotor UAV Systems
by Sungbum Park and Seongik Han
Appl. Sci. 2022, 12(22), 11637; https://doi.org/10.3390/app122211637 - 16 Nov 2022
Cited by 5 | Viewed by 1711
Abstract
In this paper, we studied a fractional-order robust backstepping control (BSC) combined with a fractional-order tracking differentiator and a fractional-order nonlinear disturbance observer for a quadrotor unmanned aerial vehicle (UAV) system. A fractional-order filtered error and a fractional-order tracking differentiator were utilized in [...] Read more.
In this paper, we studied a fractional-order robust backstepping control (BSC) combined with a fractional-order tracking differentiator and a fractional-order nonlinear disturbance observer for a quadrotor unmanned aerial vehicle (UAV) system. A fractional-order filtered error and a fractional-order tracking differentiator were utilized in a conventional BSC system to improve the positioning control performance of a highly coupled nonlinear quadrotor UAV system and bypass the differentiation issue of the virtual control and compensation of the transformation error in the conventional BSC design. A new fractional-order disturbance observer with the sine hyperbolic function was then proposed to enhance the estimation performance of the uncertain quadrotor UAV. Sequential comparative simulations were conducted, demonstrating that the proposed positioning controller and observer utilizing fractional-order calculus outperformed those of the conventional controller and observer systems. Full article
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