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Dynamic Response
Dynamic Response
Aeroelasticity
Aeroelastic modelling of helicopter rotors with unsteady aerodynamics and nonlinear structural deformations. Computation of vibration and stability. [Professor Peters]
Aeroelastic Analysis Using Neural Networks
Application of Artificial Neural Networks (ANN) to achieve very fast convergence of fluid dynamics and structures codes to obtain aeroelastic loads on aircraft components such as wing, fuselage, tail, etc. [Professor Agarwal]
Control Theory and Applications to Flight Control
Linear and nonlinear robust control of uncertain systems, nonlinear adaptive control, reduced-order modeling, singular perturbation method, applications to aircraft control under adverse weather conditions, to aircraft landing system and to control of an aeroelastic aircraft. [Professor Agarwal in collaboration with Dr. Rolf Rysdyke of the University of Washington, Dr. Peng Shi of DSTO, Australia and Prof. M. Mahmoud of the Arab Academy of Science and Technology, Egypt]
Experimental Methods for Nonlinear Vibrations
Techniques to analyze physical nonlinear systems and their stability. State-space embedding, Poincaré sections, transient response of perturbed cycles. Reduced-order models for many-degree-of-freedom (MDOF) systems using optimal mode shapes. [Professor Bayly]
Non-linear Vibration
State-space methods for characterizing and controlling chaotic response. Chaos in spatially extended systems. Methods to stabilize unstable periodic behavior in nonlinear systems using small perturbations. Also, the response and stability of feedback-controlled systems with nonlinearities (e.g. magnetic bearings, loosely connected structures).[Professor Bayly]
Response to Stall
Structural/aerodynamic interaction due to dynamic stall of wings and rotors. Trim methodologies in the presence of stall. [Professor Peters]
Trim and Stability
Solution of rotor dynamic equations with engine dynamics and multiple rotors involves solution of periodic-coefficient differential equations. This task deals with finding efficient solution strategies for this problem. [Professor Peters]
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