An Intelligent Framework for Integrated State-Consistent AeroServoElastic Reduced Order Model Development and Control Synthesis

The goal of the project is to develop an intelligent framework to seamlessly integrate state-consistent linear parameter-varying (LPV) reduced order modeling (ROM) for aeroservoelastic (ASE) and robust aerostructural control synthesis. Leveraging on significant achievements by the proposing team in prior research, this Phase I effort represents a significant contribution to ROM technology adoption by ASE control engineers in NASA, and includes several emerging techniques: dual genetic algorithm (GA)-guided, fully automated ROMs, model order reduction with strong state consistent enforcement, and GA-optimized LPV control synthesis for enhanced vehicle stabilization. A modular software framework to streamline the entire workflow and efficiently transition from the model reduction to control synthesis will be established. The feasibility of the proposed technology will be demonstrated for ASE problems of NASA interest (e.g., X-56A MUTT, MADCAT, High-speed ASE, etc.) The Phase II effort will focus on: (1) LPV ROM and control synthesis engine optimization in terms of execution efficiency, robustness, and autonomy; (2) further process automation and exact input/output formatting for direct integration of the lsquo;intelligentrsquo; environment into NASA workflow; and (3) extensive software validation and demonstration for ASE and flight control design of realistic aircrafts of current NASA interest.