28th Congress of the International Council of the Aeronautical Sciences, 23 - 28 September 2012, Brisbane, Australia
Paper ICAS 2012-5.10.5

ESTIMATION OF AERODYNAMIC DERIVATIVES IN AIRCRAFT MODEL USING ITERATIVE LEARNING IDENTIFICATION

A. Fujimori, S. Oh-Ohara
Univ. of Yamanashi, Japan

Keywords: system identification, continuous-time state-space, aerodynamic derivatives

This paper presents a system identification technique for multi-variable continuous-time state-space systems using the iterative learning control, called the iterative learning identification. The proposed technique is applied to estimation of aerodynamic derivatives in a lateral linear model of aircraft. The effectiveness is demonstrated in numerical simulations.

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