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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 2015, Vol. 36 ›› Issue (7): 2177-2185.doi: 10.7527/S1000-6893.2014.0332

• Fluid Mechanics and Flight Mechanics • Previous Articles     Next Articles

Identification of aircraft stability and control characteristics derivatives and analysis of random noises

DING Di1,2, QIAN Weiqi1,2, WANG Qing1,2   

  1. 1. State Key Laboratory of Aerodynamics, China Aerodynamics Research and Development Center, Mianyang 621000, China;
    2. Computational Aerodynamics Institute, China Aerodynamics Research and Development Center, Mianyang 621000, China
  • Received:2014-08-27 Revised:2014-12-01 Online:2015-07-15 Published:2014-12-11

Abstract:

Small perturbation theory and parameter identification method are applied to obtaining the stability and control derivatives of an airplane. To accomplish the stability and control characteristics analysis during the airplane design, we develop the parameter identification algorithm, which are validated with data of an unmanned airplane vehicle ANCE and a Boeing transport airplane Boeing 747. Firstly, we estimate the stability and control derivatives of the airplanes and compare them with the small perturbation theory results. Then the accuracy of the estimated derivatives and the dispersion of the eigenvalues of different response modes are quantitatively analyzed by Monte Carlo simulation based on the known measurement noises during the flight test. The estimating accuracy of certain relatively small derivatives, which are dominated by airplanes' inherent aerodynamic characteristics, degenerates with these noises. The response eigenvalues of short-period mode, Dutch-roll mode and roll mode under random noises can be accurately acquired with the parameter identification algorithm presented here, while the response eigenvalues of phugoid mode and spiral mode are more sensitive to noises.

Key words: derivatives identification, random noises, stability and control characteristics, response mode, small perturbation theory

CLC Number: