| Title |
Performance Improvement of the Active Noise Control System Using RCMAC and PSO Method |
| Authors |
한성익(Han, Seong-Ik) ; 신종민(Shin, Jong-Min) ; 김새한(Kim, Sae-Han) ; 이권순(Lee, Kwon-Soon) |
| Keywords |
Active noise control ; Recurrent cerebellar model articulation controller ; Filter-x least mean square ; Particle swarm optimization ; Duct system ; KTX cabin noise |
| Abstract |
In this paper, a recurrent cerebellar modulation articulation control with praticle swarm optimization (PSO) method has been investigated for improvement of noise attenuation performance in active noise control system. For narrow band noise, FXLMS and RCMAC has a partial satisfactory noise attenuation. However, noise attenuation performance is poor for broad band noise and nonlinear path since it has linear filter structure. To improve this problem, a RCMAC with PSO is proposed and it is shown that satisfactory noise attenuation performance is obtained by some simulations in duct system using harmonic motor noise and KTX cabin noise as a noise source. |