论文信息 - Flight Testing of Reconfigurable Control Law on the X-36 Tailless Aircraft

Flight Testing of Reconfigurable Control Law on the X-36 Tailless Aircraft

Piloted simulation and e ight-test results from the evaluation of a recone gurable e ight control law for the X-36 tailless e ghter aircraft are presented. The recone gurable control law, which is based on dynamic inversion in an explicitmodelfollowing framework, employs an onlineneural network to adaptively regulatetheerror in the plant inversion, which may be due to modeling uncertainties, failures, or damage. Simulated actuator failures, which causedeffectorstobelockedatprescribed positions,wereinjectedtoevaluatethestability andhandling qualitiesof therecone gurablecontrol law underfailures. Thecontrol law was not given any knowledgeof the actuator failure, and fault detection logic was not employed. Piloted simulation testing was used to compare the recone gurable control law to the X-36 dynamic inversion control laws under simulated actuator failures. The recone gurable control law showed improved handling qualities and departure resistance relative to the baseline X-36 control laws.

Kevin A. Wise | Joseph S. Brinker | K. Wise

[1] Anthony J. Calise,et al. Development of a Reconfigurable Flight Control Law for Tailless Aircraft , 2001 .

[2] Dale F. Enns,et al. Nonlinear control law with application to high angle-of-attack flight , 1992 .

[3] Eric N. Johnson,et al. Adaptive trajectory based control for autonomous helicopters , 2002, Proceedings. The 21st Digital Avionics Systems Conference.

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

[5] Michael B. McFarland,et al. Neural Networks and Adaptive Nonlinear Control of Agile Antiair Missiles , 2000 .

[6] D. Enns. CONTROL ALLOCATION APPROACHES , 1998 .

[7] M.J. Piovoso,et al. Award-winning control applications , 2002, IEEE Control Systems.

[8] David B. Doman,et al. Dynamic Inversion-Based Adaptive/Reconfigurable Control of the X-33 on Ascent , 2002 .

[9] Piero Miotto,et al. Application of real structured singular values to flight control law validation , 1996 .

[10] A. J. Calise,et al. Adaptive backstepping control for a class of nonlinear systems via multilayered neural networks , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[11] Anthony J. Calise,et al. Hierarchical Approach to Adaptive Control for Improved Flight Safety , 2001 .

[12] Marc Bodson,et al. Evaluation of optimization methods for control allocation , 2001 .

[13] Marc Bodson. Reconfigurable Nonlinear Autopilot , 2002 .