A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints

This paper presents a novel robust reference governor (RG) for trajectory tracking of quadrotors. The proposed scheme is characterized by low computational complexity and straightforward gain selection. Moreover, it considers safety constraints regarding speed limits and ensures the stability and th...

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Main Authors: Panagiotis S. Trakas, Andreas Tantoulas, Charalampos P. Bechlioulis
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/11/11/984
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author Panagiotis S. Trakas
Andreas Tantoulas
Charalampos P. Bechlioulis
author_facet Panagiotis S. Trakas
Andreas Tantoulas
Charalampos P. Bechlioulis
author_sort Panagiotis S. Trakas
collection DOAJ
description This paper presents a novel robust reference governor (RG) for trajectory tracking of quadrotors. The proposed scheme is characterized by low computational complexity and straightforward gain selection. Moreover, it considers safety constraints regarding speed limits and ensures the stability and the proper operation of the closed-loop system. The proposed scheme imposes user-specified performance attributes on the evolution of the tracking error when the safety constraints allow it. When these constraints are at risk of violation, the proposed RG provides a relaxation of the predefined performance specifications to ensure the stability of the plant. Lyapunov analysis proves the boundedness of the closed-loop signals, while its efficacy is further clarified and verified via extensive comparative experimental results against a well-established PI regulator.
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spelling doaj.art-f137088b684542f6bb33bb9fb12331bb2023-11-24T14:52:52ZengMDPI AGMachines2075-17022023-10-01111198410.3390/machines11110984A Reference Governor with Adaptive Performance for Quadrotors under Safety ConstraintsPanagiotis S. Trakas0Andreas Tantoulas1Charalampos P. Bechlioulis2Department of Electrical and Computer Engineering, University of Patras, 26504 Patras, GreeceDepartment of Electrical and Computer Engineering, University of Patras, 26504 Patras, GreeceDepartment of Electrical and Computer Engineering, University of Patras, 26504 Patras, GreeceThis paper presents a novel robust reference governor (RG) for trajectory tracking of quadrotors. The proposed scheme is characterized by low computational complexity and straightforward gain selection. Moreover, it considers safety constraints regarding speed limits and ensures the stability and the proper operation of the closed-loop system. The proposed scheme imposes user-specified performance attributes on the evolution of the tracking error when the safety constraints allow it. When these constraints are at risk of violation, the proposed RG provides a relaxation of the predefined performance specifications to ensure the stability of the plant. Lyapunov analysis proves the boundedness of the closed-loop signals, while its efficacy is further clarified and verified via extensive comparative experimental results against a well-established PI regulator.https://www.mdpi.com/2075-1702/11/11/984adaptive performance controlinput constraintsreference governor
spellingShingle Panagiotis S. Trakas
Andreas Tantoulas
Charalampos P. Bechlioulis
A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
Machines
adaptive performance control
input constraints
reference governor
title A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
title_full A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
title_fullStr A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
title_full_unstemmed A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
title_short A Reference Governor with Adaptive Performance for Quadrotors under Safety Constraints
title_sort reference governor with adaptive performance for quadrotors under safety constraints
topic adaptive performance control
input constraints
reference governor
url https://www.mdpi.com/2075-1702/11/11/984
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