«РОЗМИТЕ» ОЦІНЮВАННЯ ПАРАМЕТРІВ ПОЛЬОТНОГО ГЕОМЕТРИЧНОГО КАЛІБРУВАННЯ

• Datum: 2025
• 1. Verfasser: Tkachenko, A.I.
• Format: Artikel
• Sprache: English
• Veröffentlicht: V.M. Glushkov Institute of Cybernetics of NAS of Ukraine 2025
• Schlagworte: польотне геометричне калібрування; космічний апарат; знімальна камера; зоряний давач; відомі та невідомі наземні маркери; розмитий спостережник; координатна прив’язка
• Online Zugang: https://jais.net.ua/index.php/files/article/view/645
• Назва журналу: Problems of Control and Informatics

The goal of this work is to investigate a possibility to improve an accuracy and reliability of in-flight geometric calibration of the spacecraft’s imaging complex with use of known or unknown landmarks. Here calibration is interpreted as making more precise mutual attitude of the onboard imaging camera and star tracker in a space-craft’s body. It is a necessary part of preparing of the optical-electronic complex for imaging and geo-referencing of the ground objects. Received snapshots and readings of star tracker and GPS are working up on the ground. In calibration, snapshots of known or, in principle, unknown landmarks are used. There exist methods of in-flight geometric calibration on the base of forming measuring equations of various physical origin. These equations are solved by means of least square method. Usually equations of known landmarks are used, but problem’s decisions with attracting of unknown landmarks are possible. In this work, approach to the solution of the in-flight geometric calibration problem using not least square method but formulas of fuzzy observer is proposed. In many cases such an approach allows to dilute negative influence of disturbances and sensor errors onto accuracy of the estimation of calibration parameters is offered. Essential peculiarity of observer’s realization process is its recursive character. Received estimates are made more precise by taking into account not the whole manifold of received snapshots at once, but each snapshot successively. Such an approach allows to improve convergence of estimates. As in this case estimated parameters of calibration are constant, a stage of prognosis peculiar for such algorithms is not necessary and only update procedure is used. Presentation and arguments are provided with sufficient volume of computer simulation. They confirm above mentioned advantages of fuzzy observer as compared with least square method for in-flight geometric calibration.