Energy‐Efficient Aerial Rendezvous Control of Electric Fixed‐Wing Uavs: A Hierarchical Multi‐Objective MPC Approach.
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| Title: | Energy‐Efficient Aerial Rendezvous Control of Electric Fixed‐Wing Uavs: A Hierarchical Multi‐Objective MPC Approach. |
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| Authors: | Zhang, Xiaotian1,2 (AUTHOR), He, Defeng3 (AUTHOR) hdfzj@zjut.edu.cn, Yang, Xu‐hua1 (AUTHOR) |
| Source: | Optimal Control - Applications & Methods. Nov2025, Vol. 46 Issue 6, p2812-2828. 17p. |
| Subjects: | Multi-objective optimization, Predictive control systems, Feedback control systems, Lithium cells, Energy consumption, Airplanes, Trajectory measurements |
| Abstract: | This article proposes an energy‐efficient hierarchical multi‐objective model predictive control (MOMPC) strategy to address the aerial rendezvous problem of fixed‐wing unmanned aerial vehicles (UAVs) with aerial moving platforms. The study focuses on an electric fixed‐wing UAV (eUAV) powered by a Lithium‐Polymer (LiPo) battery, whose full dynamics are integrated with the kinematics of the aerial platform to establish a constrained rendezvous model. Based on this model, a hierarchical control architecture is developed to achieve dynamic trade‐offs between energy efficiency and rendezvous accuracy, while satisfying system‐level constraints and ensuring real‐time implementations. In the high‐layer, MOMPC is executed at a low frequency within a piecewise constant framework, where the multi‐objective problem with dynamically varying priorities is reformulated into two sequential lexicographic optimizations. The resulting optimal state trajectories are transmitted to the low‐layer controller, which operates at a higher frequency to ensure accurate trajectory tracking for aerial rendezvous. Additionally, a neural network‐based observer is embedded in the low‐layer to estimate and compensate for lumped disturbances. Theoretical analysis is provided to establish recursive feasibility and closed‐loop performance for both control layers. Simulation results validate the effectiveness of the proposed strategy in achieving accurate rendezvous with enhanced energy efficiency. [ABSTRACT FROM AUTHOR] |
| Copyright of Optimal Control - Applications & Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189331431 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Energy‐Efficient Aerial Rendezvous Control of Electric Fixed‐Wing Uavs: A Hierarchical Multi‐Objective MPC Approach. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Xiaotian%22">Zhang, Xiaotian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Defeng%22">He, Defeng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> hdfzj@zjut.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Xu‐hua%22">Yang, Xu‐hua</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Optimal+Control+-+Applications+%26+Methods%22">Optimal Control - Applications & Methods</searchLink>. Nov2025, Vol. 46 Issue 6, p2812-2828. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Multi-objective+optimization%22">Multi-objective optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Predictive+control+systems%22">Predictive control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Feedback+control+systems%22">Feedback control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Lithium+cells%22">Lithium cells</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Airplanes%22">Airplanes</searchLink><br /><searchLink fieldCode="DE" term="%22Trajectory+measurements%22">Trajectory measurements</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article proposes an energy‐efficient hierarchical multi‐objective model predictive control (MOMPC) strategy to address the aerial rendezvous problem of fixed‐wing unmanned aerial vehicles (UAVs) with aerial moving platforms. The study focuses on an electric fixed‐wing UAV (eUAV) powered by a Lithium‐Polymer (LiPo) battery, whose full dynamics are integrated with the kinematics of the aerial platform to establish a constrained rendezvous model. Based on this model, a hierarchical control architecture is developed to achieve dynamic trade‐offs between energy efficiency and rendezvous accuracy, while satisfying system‐level constraints and ensuring real‐time implementations. In the high‐layer, MOMPC is executed at a low frequency within a piecewise constant framework, where the multi‐objective problem with dynamically varying priorities is reformulated into two sequential lexicographic optimizations. The resulting optimal state trajectories are transmitted to the low‐layer controller, which operates at a higher frequency to ensure accurate trajectory tracking for aerial rendezvous. Additionally, a neural network‐based observer is embedded in the low‐layer to estimate and compensate for lumped disturbances. Theoretical analysis is provided to establish recursive feasibility and closed‐loop performance for both control layers. Simulation results validate the effectiveness of the proposed strategy in achieving accurate rendezvous with enhanced energy efficiency. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Optimal Control - Applications & Methods is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/oca.70030 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 2812 Subjects: – SubjectFull: Multi-objective optimization Type: general – SubjectFull: Predictive control systems Type: general – SubjectFull: Feedback control systems Type: general – SubjectFull: Lithium cells Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Airplanes Type: general – SubjectFull: Trajectory measurements Type: general Titles: – TitleFull: Energy‐Efficient Aerial Rendezvous Control of Electric Fixed‐Wing Uavs: A Hierarchical Multi‐Objective MPC Approach. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Zhang, Xiaotian – PersonEntity: Name: NameFull: He, Defeng – PersonEntity: Name: NameFull: Yang, Xu‐hua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 01432087 Numbering: – Type: volume Value: 46 – Type: issue Value: 6 Titles: – TitleFull: Optimal Control - Applications & Methods Type: main |
| ResultId | 1 |
