Airborne data measurement system errors reduction through state estimation and control optimization

2017 Workshop on Materials and Engineering in Aeronautics

材料科学;航空航天工程

Sebryakov, G.G.^1 ; Muzhichek, S.M.^1 ; Pavlov, V.I.^2 ; Ermolin, O.V.^2 ; Skrinnikov, A.A.^3

State Research Institute of Aviation Systems, Moscow

125319, Russia^1

Tambov State Technical University, Tambov, Russia^2

Central Recearch Institute, Air Force of the Ministry of Defense of the Russian Federation, Moscow region, Russia^3

关键词: Airborne data;    Aircraft data;    Control optimization;    Experiment design;    Mathematical descriptions;    Posterior estimations;    Structure variation;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/312/1/012022/pdf
DOI  :  10.1088/1757-899X/312/1/012022

来源: IOP

【 摘 要 】

The paper discusses the problem of airborne data measurement system errors reduction through state estimation and control optimization. The approaches are proposed based on the methods of experiment design and the theory of systems with random abrupt structure variation. The paper considers various control criteria as applied to an aircraft data measurement system. The physics of criteria is explained, the mathematical description and the sequence of steps for each criterion application is shown. The formula is given for airborne data measurement system state vector posterior estimation based for systems with structure variations.