Zhiwei Ren , Jingli Du , Bin Zi , Jiabo Wang , Guohui Chen , Feijie Wang
{"title":"Distributed active surface compensation for large space-borne mesh reflectors","authors":"Zhiwei Ren , Jingli Du , Bin Zi , Jiabo Wang , Guohui Chen , Feijie Wang","doi":"10.1016/j.ijmecsci.2025.110825","DOIUrl":null,"url":null,"abstract":"<div><div>Deployable mesh reflectors in space are vulnerable to surface deviations induced by attitude adjustments, thermal cycling, and material relaxation, which affect electromagnetic performance stability. To meet the requirements of aerospace missions, a distributed active surface compensation strategy based on model predictive control and driven by micro-electromechanical actuators is proposed. A multilayer distributed subsystem model is developed based on the explicit Newmark-β method combined with dynamic substructure modeling method, enabling the formulation of subsystem-level dynamics tailored for distributed control. For each subsystem, the Newmark-β method is applied to discretize the prediction model with information interaction, and a distributed model predictive control method is developed using cable length adjustment as the driving strategy. By introducing the parametric variational principle, the actuator saturation constraint is reformulated as a linear complementarity problem, enabling efficient active surface error compensation. Numerical simulations show that the proposed method is adaptable to different shape adjustment scenarios and the ability to maintain the surface accuracy under sub-controller failures, demonstrating both stability and fault-tolerance. Furthermore, a closed-loop active surface compensation experimental verification system is also built based on the 3-meter-diameter mesh reflector prototype, and the shape adjustment experiments show a real-time surface error reduction of over 90%. These results confirm the practical feasibility and control effectiveness of the proposed distributed model predictive control approach, achieving real-time error compensation and verifying its applicability for large flexible space mesh structures.</div></div>","PeriodicalId":56287,"journal":{"name":"International Journal of Mechanical Sciences","volume":"306 ","pages":"Article 110825"},"PeriodicalIF":9.4000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanical Sciences","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0020740325009075","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Deployable mesh reflectors in space are vulnerable to surface deviations induced by attitude adjustments, thermal cycling, and material relaxation, which affect electromagnetic performance stability. To meet the requirements of aerospace missions, a distributed active surface compensation strategy based on model predictive control and driven by micro-electromechanical actuators is proposed. A multilayer distributed subsystem model is developed based on the explicit Newmark-β method combined with dynamic substructure modeling method, enabling the formulation of subsystem-level dynamics tailored for distributed control. For each subsystem, the Newmark-β method is applied to discretize the prediction model with information interaction, and a distributed model predictive control method is developed using cable length adjustment as the driving strategy. By introducing the parametric variational principle, the actuator saturation constraint is reformulated as a linear complementarity problem, enabling efficient active surface error compensation. Numerical simulations show that the proposed method is adaptable to different shape adjustment scenarios and the ability to maintain the surface accuracy under sub-controller failures, demonstrating both stability and fault-tolerance. Furthermore, a closed-loop active surface compensation experimental verification system is also built based on the 3-meter-diameter mesh reflector prototype, and the shape adjustment experiments show a real-time surface error reduction of over 90%. These results confirm the practical feasibility and control effectiveness of the proposed distributed model predictive control approach, achieving real-time error compensation and verifying its applicability for large flexible space mesh structures.
期刊介绍:
The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering.
The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture).
Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content.
In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.