Particle Swarm Optimization Based Active Noise Control Algorithm Without Secondary Path Identification

• Published in: IEEE transactions on instrumentation and measurement Vol. 61; no. 2; pp. 554 - 563
• Main Authors: Rout, N. K., Das, D. P., Panda, G.
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2012; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acoustic noise; Active noise control; Active noise control (ANC); adaptive filtering; Algorithms; conditional reinitialized PSO (CRPSO); Convergence; Equations; Evolutionary; Instrumentation; Least mean squares; Loudspeakers; Mathematical model; Microphones; Noise; Noise control; Optimization; particle swarm optimization (PSO); Studies

In this paper, particle swarm optimization (PSO) algorithm, which is a nongradient but simple evolutionary computing-type algorithm, is proposed for developing an efficient active noise control (ANC) system. The ANC is conventionally used to control low-frequency acoustic noise by employing a gradie...