Aircraft Prognostics and Health Management, and Adaptive Reconfigurable Control

Scientific Systems Company Inc. (SSCI) proposes to developnonlinear on-line Health Monitoring (HM), Failure Detection andIdentification (FDI) and Adaptive Reconfigurable Control (ARC)algorithms for the case of failures of Electro-Mechanical Actuators(EMAs) and other subsystems and components of a modern combataircraft. The proposed algorithms will result in fast and accurateon-line FDI and ARC for EMAs whose behavior is characterized byhighly nonlinear dynamics. The proposed on-line HM-FDI and ARCscheme will be integrated into Boeing's open Prognostics and HealthManagement (PHM) and Open Control Platform (OCP)architectures. In order to achieve the above objectives, we propose tocarry out in Phase I the following tasks: (i) Formulation of theHM-FDI and ARC problem for Electro-Mechanical Actuators(EMAs). (ii) Acquisition of nonlinear actuator models from Boeing.(iii) Development of on-line nonlinear HM-FDI and ARCalgorithms compatible with the PHM and OCP architectures for thenonlinear actuator models. (iv) Testing, tuning and performanceevaluation of the algorithms on a linearized TAFA simulation. (v)Integration of the HM-FDI and ARC algorithms into the PHM andOCP. In Phase II we plan to integrate our HM-FDI and ARCalgorithms into Boeing's PMH and OCP systems and test them underlaboratory conditions at Boeing, and in flight tests. The end productof this research will be a user-friendly software design toolkit foron-line HM-FDI and ARC. Boeing Phantom Works will providetechnical and commercialization support in all phases of the project.