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. Journal of Aircraft, 48 (2). pp. 553-566. ISSN 0021-8669

Full text not available from this repository.

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

Item Type: Journal Article
Uncontrolled Keywords: TRAILING-EDGE FLAPS; MULTILAYER FEEDFORWARD NETWORKS; RESPONSE-SURFACE METHODS; VIBRATION REDUCTION; DESIGN OPTIMIZATION; AEROELASTIC OPTIMIZATION; STRUCTURAL OPTIMIZATION; SUBSONIC FLOW; BLADE DESIGN; APPROXIMATION
Subjects: ENGINEERING > Engineering (General)
Division/Department: Other, Other, Advanced Composites Division
Depositing User: Ms Indrani V
Date Deposited: 14 Jun 2011 15:42
Last Modified: 23 Jun 2011 10:27
URI: http://nal-ir.nal.res.in/id/eprint/9216

Actions (login required)

View Item