Active Twist Rotor Controller Identification for Blade-Vortex Interaction Noise Alleviation

Autor: Giovanni Bernardini, Massimo Gennaretti, Alessandro Anobile
Přispěvatelé: Anobile, Alessandro, Bernardini, Giovanni, Gennaretti, Massimo
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Scopus-Elsevier
Popis: Several sources of acoustic annoyance may be detected in a rotorcraft in operating conditions. The current research pays particular attention to the noise generated aerodynamically by the main rotor because of blade-vortex interactions (BVIs). This paper deals with the reduction of helicopter BVI noise by application of the active twist rotor concept (ATR), that exploits smart materials for twisting rotor blades through higher harmonic torque loads. An optimal, multi-cyclic, control approach is applied to identify the control law driving the ATR actuation during the occurrence of strongest BVI events. Numerical predictions are obtained through a computational tool that is able to predict the aeroelastic response of the rotor blades, as well as to evaluate the emitted noise in arbitrary steady flight conditions. The approach for the control law identification is described, and numerical results concerning the alleviation of the noise field emitted by the controlled rotor are presented.
Databáze: OpenAIRE