{"title":"Civil aircraft weight and center-of-gravity real-time estimation via the six-degree-of-freedom model with variable center of mass","authors":"Shaobo Zhai , Guangwen Li , Penghui Huang , Mingshan Hou","doi":"10.1016/j.apm.2025.116063","DOIUrl":null,"url":null,"abstract":"<div><div>This article addresses the issue of civil aircraft weight and center-of-gravity position real-time estimation using the six-degree-of-freedom model with variable center of mass, and derives the explicit expressions for aircraft weight and longitudinal center-of-gravity. Firstly, the nonlinear six-degree-of-freedom aircraft model with center-of-gravity variations is established, where the moment correction is considered. Subsequently, an aircraft weight estimation method via force analysis and an aircraft longitudinal center-of-gravity position estimation method via moment transformation are developed, and the acceleration correction is derived. Furthermore, a fuel system architecture is introduced, and the active center-of-gravity controller is designed. <strong><em>To assess the effectiveness of the proposed method, a series of numerical simulations are operated, integrating sensitivity analysis with quantitative calculation. The results demonstrate that the algorithm achieves consistent and reliable performance even under parameter perturbations, with the longitudinal center-of-gravity position estimation error remaining within ±2 % of the mean aerodynamic chord (MAC).</em></strong></div></div>","PeriodicalId":50980,"journal":{"name":"Applied Mathematical Modelling","volume":"144 ","pages":"Article 116063"},"PeriodicalIF":4.4000,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Mathematical Modelling","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0307904X25001386","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This article addresses the issue of civil aircraft weight and center-of-gravity position real-time estimation using the six-degree-of-freedom model with variable center of mass, and derives the explicit expressions for aircraft weight and longitudinal center-of-gravity. Firstly, the nonlinear six-degree-of-freedom aircraft model with center-of-gravity variations is established, where the moment correction is considered. Subsequently, an aircraft weight estimation method via force analysis and an aircraft longitudinal center-of-gravity position estimation method via moment transformation are developed, and the acceleration correction is derived. Furthermore, a fuel system architecture is introduced, and the active center-of-gravity controller is designed. To assess the effectiveness of the proposed method, a series of numerical simulations are operated, integrating sensitivity analysis with quantitative calculation. The results demonstrate that the algorithm achieves consistent and reliable performance even under parameter perturbations, with the longitudinal center-of-gravity position estimation error remaining within ±2 % of the mean aerodynamic chord (MAC).
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.