Optimization of Helicopter Rotor Using Polynomial and Neural Network Metamodels

Saijal, KK and Ganguli, Ranjan and Viswamurthy, SR (2011) Optimization of Helicopter Rotor Using Polynomial and Neural Network Metamodels. In: Journal of Aircraft, 48 (2). pp. 553-566.

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Abstract

This study aims to determine optimal locations of dual trailing-edge flaps and blade stiffness to achieve minimum hub vibration levels in a helicopter, with low penalty in terms of required trailing-edge flap control power. An aeroelastic analysis based on finite elements in space and time is used in conjunction with an optimal control algorithm to determine the flap time history for vibration minimization. Using the aeroelastic analysis, it is found that the objective functions are highly nonlinear and polynomial response surface approximations cannot describe the objectives adequately. A neural network is then used for approximating the objective functions for optimization. Pareto-optimal points minimizing both helicopter vibration and flap power ale obtained using the response surface and neural network metamodels. The two metamodels give useful improved designs resulting in about 27% reduction in hub vibration and about 45% reduction in flap power. However, the design obtained using response surface is less sensitive to small perturbations in the design variables.

Item Type:	Journal Article
Publication:	Journal of Aircraft
Publisher:	American Institute of Aeronautics and Astronautics
Additional Information:	Copyright of this article belongs to American Institute of Aeronautics and Astronautics.
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	20 May 2011 07:29
Last Modified:	20 May 2011 07:29
URI:	http://eprints.iisc.ac.in/id/eprint/37569

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