Abstract
Developing an autonomous flight control system for a fixed-wing unmanned aerial vehicle (UAV) requires the mathematical representation of the system dynamics which can be obtained through system identification, such as using white, grey or black box methods. In this paper, three system identification methods; white method modeling using Cook formulas which is used analytically to develop the linear-time-invariant model structure with the aerodynamic coefficients of the UAV extracted from Missile DATCOM computations at certain flight conditions, and two empirical mathematical models constructed from non-linear flight simulator defined as the Greyification of Black Box Model (B2G) and Direct Grey to White Linkage (G2W). The comparison shows that both empirical methods prove to be very instrumental to contrast and produce higher sense of engineering than the analytical one
Highlights
requires the mathematical representation of the system dynamics which can be obtained through system identification
develop the linear-time-invariant model structure with the aerodynamic coefficients of the unmanned aerial vehicle (UAV) extracted from Missile DATCOM computations at certain flight conditions
non-linear flight simulator defined as the Greyification of Black Box Model
Summary
Journal of Physics: Conference Series Volume 1130, Issue 1, 29 November 2018, Article number 012024 6th International Seminar of Aerospace Science and Technology, ISAST 2018; Jakarta; Indonesia; September 2018 through September 2018; Code 142774. Comparison of black-grey-white box approach in system identification of a flight vehicle (Conference Paper) (Open Access). L.a , Akmeliawati, R.b aGuidance, Navigation and Control, Rocket Technology Center/Pustekroket, LAPAN, Rumpin, Bogor, Indonesia bDepartment of Mechatronics Engineering, International Islamic University of Malaysia, Kuala Lumpur, 53100, Malaysia
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