Internal Algorithm Monitors for Adaptive Systems

The safe flight of aircraft under abnormal and damaged flight conditions is the subject of research being conducted under NASA’s Aviation Safety Program, in the Integrated Resilient Aircraft Control (IRAC) Project. Much of this work has focused on the design of adaptive architectures as an augmentation mechanism for traditional feedback controllers. While the field of adaptive control has a long, some 60 year, history of academic analysis, the implementation of these algorithms is still a challenge. This work does not specifically address the challenges associated with the implementation of adaptive control. However, it proposes a method for monitoring the internal signals of adaptive systems to provide a leading indicator of unexpected behavior. This will allow for the safe testing of adaptive algorithms on experimental testbeds.

[1]  E. Lavretsky,et al.  Adaptive Flight Control in the Presence of Multiple Actuator Anomalies , 2007, 2007 American Control Conference.

[2]  Anuradha M. Annaswamy,et al.  Adaptive Control in the Presence of Input Constraints , 1993, 1993 American Control Conference.

[3]  J. Keener Principles of Applied Mathematics , 2019 .

[4]  John Kaneshige,et al.  Integrated Resilient Aircraft Control , 2010 .

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

[6]  Anuradha M. Annaswamy,et al.  Design and Verification of an Adaptive Controller for the Generic Transport Model , 2009 .

[7]  A. Annaswamy,et al.  Direct Adaptive Control of Multi-Input Plants with Magnitude Saturation Constraints , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[8]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[9]  Anuradha M. Annaswamy,et al.  Stable Adaptive Systems , 1989 .

[10]  Gautam H. Shah Aerodynamic Effects and Modeling of Damage to Transport Aircraft , 2008 .

[11]  Petros A. Ioannou,et al.  Robust Adaptive Control , 2012 .

[12]  Irene M. Gregory,et al.  General Equations of Motion for a Damaged Asymmetric Aircraft , 2007 .

[13]  Hassan K. Khalil,et al.  Output feedback control of nonlinear systems using RBF neural networks , 2000, IEEE Trans. Neural Networks Learn. Syst..

[14]  Luis G. Crespo,et al.  An adaptive control technology for safety of a GTM-like aircraft , 2009, 2009 American Control Conference.