A principal component feedforward algorithm for active noise control: Flight test results

Citation
R. Cabell et al., A principal component feedforward algorithm for active noise control: Flight test results, IEEE CON SY, 9(1), 2001, pp. 76-83
Citations number
23
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
ISSN journal
10636536 → ACNP
Volume
9
Issue
1
Year of publication
2001
Pages
76 - 83
Database
ISI
SICI code
1063-6536(200101)9:1<76:APCFAF>2.0.ZU;2-4
Abstract
An in-flight evaluation of a principal component algorithm for feedforward active noise control is discussed. Cabin noise at the first three harmonics of the blade passage frequency (103 Hz) of a Raytheon-Beech 1900D twin tur boprop aircraft was controlled using 21 pairs of inertial force actuators b olted to the ring frames of the aircraft; 32 microphones provided error fee dback inside the aircraft cabin. In a single frequency noise control test, the blade passage frequency was reduced by 15 dB averaged across the microp hone array. When controlling the first three harmonics simultaneously, redu ctions of 11 dB at 103 Hz, 1.5 dB at 206 Hz. and 2.8 dB at 309 Hz were obta ined. For single frequency feedforward control problems, the principal comp onent algorithm is shown to be useful for reducing the computational burden and simplifying the implementation of control effort penalties in high cha nnel count control systems. Good agreement was found between the in-flight behavior of the controller and the predicted optimal control solution.