Integrated model reduction and control of aircraft with flexible wings

This paper presents an integrated approach to the modeling and control of aircraft with exible wings. The coupled aircraft rigid body dynamics with a high-order elastic wing model can be represented in a nite dimensional state-space form. Given a set of desired output covariance, a model reduction process is performed by using the weighted Modal Cost Analysis (MCA). A dynamic output feedback controller, which is designed based on the reduced-order model, is developed by utilizing output covariance constraint (OCC) algorithm, and the resulting OCC design weighting matrix is used for the next iteration of the weighted cost analysis. This controller is then validated for full-order evaluation model to ensure that the aircraft's handling qualities are met and the uttering motion of the wings suppressed. An iterative algorithm is developed in CONDUIT environment to realize the integration of model reduction and controller design. The proposed integrated approach is applied to NASA Generic Transport Model (GTM) for demonstration.

[1]  William S. Levine,et al.  CONDUIT: A New Multidisciplinary Integration Environment for Flight Control Development , 1997 .

[2]  Robert E. Skelton,et al.  Order reduction for models of space structures using modal cost analysis , 1982 .

[3]  K. Glover All optimal Hankel-norm approximations of linear multivariable systems and their L, ∞ -error bounds† , 1984 .

[4]  Guoming G. Zhu,et al.  Integrated Modeling and Control for the Large Spacecraft Control Laboratory Experiment Facility , 1994 .

[5]  Jer-Nan Juang,et al.  An eigensystem realization algorithm for modal parameter identification and model reduction. [control systems design for large space structures] , 1985 .

[6]  Anthony J. Calise,et al.  Longitudinal Dynamics and Adaptive Control Application for an Aeroelastic Generic Transport Model , 2011 .

[7]  Guoming G. Zhu,et al.  A Convergent Algorithm for the Output Covariance Constraint Control Problem , 1997 .

[8]  Mohammad Bagher Menhaj,et al.  COMPARISON OF FLIGHT CONTROL SYSTEM DESIGN METHODS IN LANDING , 2007 .

[9]  Avrdec,et al.  Control Law Design and Optimization for Rotorcraft Handling Qualities Criteria Using CONDUIT , 1999 .

[10]  R. Skelton,et al.  Component cost analysis of large scale systems , 1983 .

[11]  Mark B. Tischler,et al.  Comparison of Flight Control System Design Methods Using the CONDUIT Design Tool , 2002 .

[12]  Mark B. Tischler,et al.  Modernized Control Laws for UH-60 BLACK HAWK Optimization and Flight-Test Results , 2005 .

[13]  D. Enns Model reduction with balanced realizations: An error bound and a frequency weighted generalization , 1984, The 23rd IEEE Conference on Decision and Control.

[14]  K. Grigoriadis,et al.  Covariance control design for Hubble Space Telescope , 1995 .