Restructurable Guidance and Control for Aircraft with Failures Considering Gust Effects

This paper presents a procedure for designing a fault-tolerant guidance and control system for a damaged aircraft using the simultaneous online fault/wind estimation and the nonlinear restructurable guidance and control law. The algorithm employs an extended Kalman filter (EKF) and a nonlinear inverse dynamics (NID) controller with the singular perturbation method. The EKF, which is based on the six-degree-of-freedom nonlinear aircraft equations of motion, simultaneously estimates the aerodynamic derivative changes and the wind-velocity components. The NID controller computes the required control-surface deflections and engine thrust not only to stabilize damaged aircraft but also to enable the aircraft to track the reference trajectory using the estimated results in a gusty environment. The estimation algorithm is evaluated through flight-test data obtained by using the experimental aircraft. Numerical simulations are carried out to verify the guidance and control capability of damaged aircraft under gusty conditions.

[1]  Sandeep S. Mulgund,et al.  Aircraft flight control in wind shear using sequential dynamic inversion , 1995 .

[2]  Sahjendra N. Singh,et al.  Invertibility and trajectory control for nonlinear maneuvers of aircraft , 1994 .

[3]  J. C. Allwright,et al.  Nonlinear inverse dynamics control of aircraft using spoilers , 1994 .

[4]  Kazuya Masui,et al.  Development of a new in-flight simulator MuPAL-alpha , 2000 .

[5]  William L. Garrard,et al.  Nonlinear inversion flight control for a supermaneuverable aircraft , 1992 .

[6]  R. Stengel Stochastic Optimal Control: Theory and Application , 1986 .

[7]  James Urnes,et al.  Flight demonstration of the self-repairing flight control system in a NASA F-15 aircraft , 1991 .

[8]  Marc L. Steinberg,et al.  Comparison of Intelligent, Adaptive, and Nonlinear Flight Control Laws , 1999 .

[9]  J. Urnes,et al.  A damage adaptive flight control system using neural network technology , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[10]  John J. Burken,et al.  Flight-Test Results of Propulsion-Only Emergency Control System on MD-11 Airplane , 1997 .

[11]  Robert F. Stengel,et al.  Flight Control Design using Nonlinear Inverse Dynamics , 1986, 1986 American Control Conference.

[12]  W. Frost,et al.  Wind shear terms in the equations of aircraft motion , 1984 .

[13]  A. E. Bryson,et al.  Disturbance Estimation for a STOL Transport During Landing , 1981 .

[14]  R. V. Jategaonkar,et al.  Algorithms for aircraft parameter estimation accounting for process and measurement noise , 1989 .

[15]  Robert F. Stengel,et al.  Optimal nonlinear estimation for aircraft flight control in wind shear , 1996, Autom..