Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs

This study presents the design of a nonlinear model-predictive controller (NMPC) for a fixed-wing uncrewed aerial vehicle (UAV) to circumnavigate a ground target. First, a nonlinear 3-D target tracking system model is presented. Subsequently, an NMPC is designed and formulated as a nonconvex optimal...

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Main Authors: Ignacio J. Torres, Ricardo P. Aguilera, Quang P. Ha
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10806664/
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author Ignacio J. Torres
Ricardo P. Aguilera
Quang P. Ha
author_facet Ignacio J. Torres
Ricardo P. Aguilera
Quang P. Ha
author_sort Ignacio J. Torres
collection DOAJ
description This study presents the design of a nonlinear model-predictive controller (NMPC) for a fixed-wing uncrewed aerial vehicle (UAV) to circumnavigate a ground target. First, a nonlinear 3-D target tracking system model is presented. Subsequently, an NMPC is designed and formulated as a nonconvex optimal problem. To derive sufficient stability conditions for a nonlinear closed loop, a linear controller with bounded disturbance is analyzed in a specific terminal region. The controlled trajectory is attracted to the terminal region in the vicinity of the system reference, thereby enabling the use of convex model-predictive control tools for the proposed NMPC. Consequently, the NMPC closed-loop system is proven to reach the terminal region in a fixed prediction horizon, and consequently, the UAV can track the ground target. During the course, an initialization technique is used for optimization to prevent stability compromise by suboptimality. System stability is met for three different speed references with variations in the weighting factors. Extensive simulations are conducted to validate the proposed approach. Experimental results are included, providing insights into the field tests and verifying the control development. The results show that the UAV system is successfully steered to the target reference while effectively remaining within its confines.
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spelling doaj-art-eeb7d3cb2b394d38b5b65efff9f1c74d2025-01-10T00:03:40ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842025-01-016769410.1109/OJIES.2024.351966510806664Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVsIgnacio J. Torres0https://orcid.org/0000-0002-1234-7429Ricardo P. Aguilera1https://orcid.org/0000-0003-4166-8341Quang P. Ha2https://orcid.org/0000-0003-0978-1758School of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, AustraliaSchool of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, AustraliaSchool of Electrical and Data Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW, AustraliaThis study presents the design of a nonlinear model-predictive controller (NMPC) for a fixed-wing uncrewed aerial vehicle (UAV) to circumnavigate a ground target. First, a nonlinear 3-D target tracking system model is presented. Subsequently, an NMPC is designed and formulated as a nonconvex optimal problem. To derive sufficient stability conditions for a nonlinear closed loop, a linear controller with bounded disturbance is analyzed in a specific terminal region. The controlled trajectory is attracted to the terminal region in the vicinity of the system reference, thereby enabling the use of convex model-predictive control tools for the proposed NMPC. Consequently, the NMPC closed-loop system is proven to reach the terminal region in a fixed prediction horizon, and consequently, the UAV can track the ground target. During the course, an initialization technique is used for optimization to prevent stability compromise by suboptimality. System stability is met for three different speed references with variations in the weighting factors. Extensive simulations are conducted to validate the proposed approach. Experimental results are included, providing insights into the field tests and verifying the control development. The results show that the UAV system is successfully steered to the target reference while effectively remaining within its confines.https://ieeexplore.ieee.org/document/10806664/Ground target trackingLyapunov stabilitynonlinear model-predictive control (NMPC)uncrewed aerial vehicle (UAV)
spellingShingle Ignacio J. Torres
Ricardo P. Aguilera
Quang P. Ha
Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
IEEE Open Journal of the Industrial Electronics Society
Ground target tracking
Lyapunov stability
nonlinear model-predictive control (NMPC)
uncrewed aerial vehicle (UAV)
title Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
title_full Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
title_fullStr Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
title_full_unstemmed Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
title_short Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs
title_sort design and performance evaluation of nonlinear model predictive control for 3 d ground target tracking with fixed wing uavs
topic Ground target tracking
Lyapunov stability
nonlinear model-predictive control (NMPC)
uncrewed aerial vehicle (UAV)
url https://ieeexplore.ieee.org/document/10806664/
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AT ricardopaguilera designandperformanceevaluationofnonlinearmodelpredictivecontrolfor3dgroundtargettrackingwithfixedwinguavs
AT quangpha designandperformanceevaluationofnonlinearmodelpredictivecontrolfor3dgroundtargettrackingwithfixedwinguavs