Imperial College London

Dr Rafael Palacios

Faculty of EngineeringDepartment of Aeronautics

Reader in Aeronautics



+44 (0)20 7594 5075r.palacios CV




355Roderic Hill BuildingSouth Kensington Campus






BibTex format

author = {Broughton-Venner, JJ and Wynn, A and Palacios, R},
title = {Aeroservoelastic optimisation of an aerofoil with active compliant flap via reparametrisation and variable selection},
year = {2017}

RIS format (EndNote, RefMan)

AB - © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved. This paper presents an investigation on simultaneous optimisation strategies for flexible vehicles and their control systems. The aeroservoelastic system consists of a two-dimensional, potential flow over a deforming aerofoil; an actively controlled, but saturated compliant trailing edge; a dynamic observer that uses a series of pressure sensors on the aerofoil; and a heave/pitch linear spring model. Although computationally simple, the design allows for optimisation over multiple disciplines: the structure can be designed by varying the stiffness of the springs; the control architecture through weightings in a LQR controller; the observer by means of the placement of pressure sensors; and the aerodynamics via the shaping of the compliant trailing edge. Optimising the weight and a metric of performance over all disciplines simultaneously is compared to a sequential methodology of optimising the open-loop characteristics first and subsequently adding a closed-loop controller. We show that varying the parametrisation and number of design variables during the optimisation can lead to improvements in the final design, and present a procedure to automate this process. To accomplish this, a new basis for the design vector is created via Proper Orthogonal Decomposition (POD) using the trajectories of initial optimisation paths as a "training set". This parametrisation is shown to make the optimisation more robust with respect to the initial design, and facilitate an automated variable selection methodology. This variable selection allows for the dimension of the problem to be reduced temporarily and it is shown that this makes the optimisation more robust.
AU - Broughton-Venner,JJ
AU - Wynn,A
AU - Palacios,R
PY - 2017///
TI - Aeroservoelastic optimisation of an aerofoil with active compliant flap via reparametrisation and variable selection
ER -