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Texas A&M University College of Engineering

Research

Our research is focused on bridging the scientific gaps between traditional computer science topics and aerospace engineering topics, while achieving a high degree of closure between theory and experiment.  We focus on machine learning and multi-agent systems, intelligent autonomous control, nonlinear control theory, vision based navigation systems, fault tolerant adaptive control, and cockpit systems and displays.  What sets our work apart is a unique systems approach and an ability to seamlessly integrate different disciplines such as dynamics & control, artificial intelligence, and bio-inspiration.  Our body of work integrates these disciplines, creating a lasting impact on technical communities from smart materials to General Aviation flight safety to Unmanned Air Systems (UAS) to guidance, navigation & control theory.  Our research has been funded by AFOSR, ARO, ONR, AFRL, ARL, AFC, NSF, NASA, FAA, and industry.

Autonomous and Nonlinear Control of Cyber-Physical Air, Space and Ground Systems

Vision Based Sensors and Navigation Systems

Cybersecurity for Air and Space Vehicles

Air Vehicle Control and Management

Space Vehicle Control and Management

Advanced Cockpit/UAS Systems and Displays

Control of Bio-Nano Materials and Structures

Stability

Coupled Static and Dynamic Stability of Aircraft

Based Upon Previous Work By Juri Kalviste

The stability of aircraft is usually expressed in terms of both static stability criteria (e.g., ##C_{m_{\alpha}} < 0##), and dynamic stability criteria (e.g., ##\zeta_{D.R.} > 0##). These criteria are normally evaulated with steady, linear aerodynamic data. The results are adequate for low angle-of-attack, light maneuvering flight regimes (where aircraft spend the majority of their flight time). In heavy maneuvering, high angle-of-attack flight regimes, the aerodynamic data tends to be unsteady and nonlinear, whereby these stability criteria are no longer valid. A set of new stability parameters are sought for analysis of aircraft stability throughout the flight envelope. These parameters will define aircraft stability based on the aircraft’s aerodynamic and inertial properties, and will include both static and dynamic effects, inertial coupling, and kinematic coupling effects. A method of relating these parameters to the conventional stability modes of an aircraft is sought, in order to isolate the formation of new dynamic modes due to coupling.

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