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Meeting	ACGS Committee Meeting 98 - Williamsburg - October 2006
Agenda Location	4 GENERAL COMMITTEE TECHNICAL SESSION 4.2 Research Institutions, Industry and University Reports 4.2.1 Universities 4.2.1.1 Ohio State University
Title	Ohio State University
Presenter	Rama Yedavalli
Available Downloads*	presentation
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Abstract	This presentation gives an overview of the aerospace controls research being carried out by Prof. Yedavalli and his group of graduate students in the department of Aerospace Engineering at The Ohio State University. Over the last five years, Prof. Yedavalli and his research group have been working on various funded and unfunded research projects, with research sponsorship from AFRL, NASA Dryden, NASA Glenn/GEAE, United Technologies Corporation and US Army Research Office. During the 2001-2004 period, in the research project sponsored by AFRL under Collaborative Center of Control Sciences established by AFRL at OSU, a Dynamic Inversion embedded State Dependent Riccati Equation based approach of control design was developed to provide robust stabilization with improved stability domain for Hypersonic Reusable launch vehicles with uncertain model data. During the 2004-2006 period, under the sponsorship of NASA Dryden, a Radial Basis Function Neural Network based controller is designed to provide stability and robustness guarantees for nonlinear flight controllers with application to advanced fighter aircrafts. During the 2004-2005 period, under the sponsorship of United Technologies Corporation, a full nonlinear simulation model with component maps in the MATLAB/SIMULINK environment was developed for Turbine Engines that can be used in the simulations for illustrating various control and estimation techniques for propulsion systems. During the 2005-2006 period, under the sponsorship of NASA Glenn/GEAE, advanced Robust Estimation techniques are developed for propulsion systems using Adaptive Neural Network based observers and bank of Kalman Filters. In addition, robust Fault detection techniques using adaptive/dynamic threshold are developed for sensor/actuator faults that minimize false alarms and improve fault detection. Under the sponsorship of ARO, during the 2006-2009 period, robust stability and control techniques are being developed for multi-body ground vehicles with uncertain dynamics and failures. Finally a new research direction for designing controllers is being developed using the sign (qualitative) stability ideas from the field of Ecology. These controllers are shown to be highly robust and nonfragile compared to the traditional Pole placement and LQR techniques as these controllers `work’ with the natural dynamics rather than `fight’ with it to stabilize the dynamics.