Adaptive reconfigurable control based on a reduced order system identification for flutter and aeroservoelastic instability suppression

Changho Nam, P. C. Chen, D. D. Liu, James Urnes, Rudy Yurkorvich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents the design of a reconfigurable adaptive control (RAC) system for limit cycle oscillation (LCO) suppression of aircraft/store configurations. With the F/A-18 as a baseline aircraft, rapid suppression of LCO (at 5.6 and 8.8 Hz) has been successfully demonstrated through five cases of numerical simulations studied. The developed RAC system is a modular control design in that the LCO controller can readily be combined with the rigid-body flight (RBF) control, thereby minimizing the impact on the existing flight control system for retrofit. The RAC system consists of a nearly developed on-line modal parameter estimation (MPE) for system identification and on-line modified model-following reconfigurable (MMFR) algorithm for rapid flutter/LCO control (requires only 0.2 and 0.8 sec). The ZAERO software system using an expedient nonlinear unsteady transonic method (ZTAIC) is employed to generate plant matrices. Reduced-order techniques using proper orthogonal decomposition (POD) and minimum state (MIST) methods reduce the system to seven states, rendering an on-line algorithm to be operated within fractions of one second.

Original languageEnglish (US)
Title of host publication19th AIAA Applied Aerodynamics Conference
StatePublished - 2001
Externally publishedYes
Event19th AIAA Applied Aerodynamics Conference 2001 - Anaheim, CA, United States
Duration: Jun 11 2001Jun 14 2001

Other

Other19th AIAA Applied Aerodynamics Conference 2001
CountryUnited States
CityAnaheim, CA
Period6/11/016/14/01

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering

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  • Cite this

    Nam, C., Chen, P. C., Liu, D. D., Urnes, J., & Yurkorvich, R. (2001). Adaptive reconfigurable control based on a reduced order system identification for flutter and aeroservoelastic instability suppression. In 19th AIAA Applied Aerodynamics Conference