Adaptive control of flight: theory, applications, and open problems

This paper discusses the application of direct adaptive model reference control as it relates to the control of aircraft and weapon systems. Recent extensions in the approach, primarily driven by practical considerations, have led to very successful flight testing. The flight control architectures considered incorporate direct adaptive increments to augment a baseline control signal designed using nonlinear and/or linear robust control methods. Recently applied to a modified guided weapon, this adaptive flight control system was designed and flight tested without wind tunnel measurement of any aerodynamic changes to the modified weapon. This paper discusses the design methodology, practical considerations, extensions incorporated, as well as open problems that remain in making this approach acceptable in the aerospace community

[1]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[2]  J. Nazuno.  Haykin, Simon. Neural networks: A comprehensive foundation, Prentice Hall, Inc. Segunda Edición, 1999 , 2000 .

[3]  Chengyu Cao,et al.  Design and Analysis of a Novel L1 Adaptive Controller, Part I: Control Signal and Asymptotic Stability , 2006, 2006 American Control Conference.

[4]  Kevin A. Wise,et al.  Approximating a linear quadratic missile autopilot design using an output feedback projective control , 1991 .

[5]  Petros G. Voulgaris,et al.  DIRECT ADAPTIVE RECONFIGURABLE FLIGHT CONTROL FOR A TAILLESS ADVANCED FIGHTER AIRCRAFT , 1999 .

[6]  Kevin A. Wise,et al.  Agile missile dynamics and control , 1996 .

[7]  Naira Hovakimyan,et al.  Design and Analysis of a Novel ${\cal L}_1$ Adaptive Control Architecture With Guaranteed Transient Performance , 2008, IEEE Transactions on Automatic Control.

[8]  Anthony J. Calise,et al.  Nonlinear flight control using neural networks , 1994 .

[9]  M Steinberg,et al.  Historical Overview of Research in Reconfigurable Flight Control , 2005 .

[10]  Anthony J. Calise,et al.  Neural-adaptive nonlinear autopilot design for an agile anti-air missile , 1996 .

[11]  Dave Dixon,et al.  Adaptive Flight Control of a Sensor Guided Munition , 2005 .

[12]  Anthony J. Calise,et al.  Multilayer neural network and adaptive nonlinear control of agile anti-air missiles , 1997 .

[13]  Claude H. Moog,et al.  NONLINEAR CONTROL DESIGN FOR THE ACROBOT , 2007 .

[14]  Anthony J. Calise,et al.  Neural-Network Augmentation of Existing Linear Controllers , 2001 .

[15]  L. Praly,et al.  Adaptive nonlinear regulation: estimation from the Lyapunov equation , 1992 .

[16]  Kevin A. Wise,et al.  Flight testing of a reconfigurable flight control law on the X-36 tailless fighter aircraft , 2000 .

[17]  Naira Hovakimyan,et al.  Positive /spl mu/-modification for stable adaptation in the presence of input constraints , 2004 .

[18]  Chengyu Cao,et al.  Design and Analysis of a Novel L1 Adaptive Controller, Part II: Guaranteed Transient Performance , 2006, 2006 American Control Conference.

[19]  Kevin A. Wise,et al.  Bank-to-turn missile autopilot design using loop transfer recovery , 1990 .

[20]  Anthony J. Calise,et al.  Application of an Adaptive Autopilot Design to a Family of Guided Munitions , 2000 .

[21]  Kevin A. Wise,et al.  DIRECT ADAPTIVE RECONFIGURABLE FLIGHT CONTROL FOR A TAILLESS ADVANCED FIGHTER AIRCRAFT , 1999 .