Active noise control using artificial neural network

• Main Author: Nailul Hafiz Abdul Rahim
• Other Authors: Saratchandran, Paramasivan
• Format: Theses and Dissertations
• Language: English
• Published: 2008
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/13210
• Institution: Nanyang Technological University

The project started with an extensive literature survey relating to Artificial Neural Networks, Real-time control and Active Noise Control. Specifications were drawn and a real-time system design performed. Based on the design, C language based programs were developed for each algorithm. A set of simulated input signals was generated to test the programs developed. It was observed that ANNs performed as well as the other algorithms for low frequency noise, but deteriorated as the frequency was increased. The ANN controller was also poorer at handling broadband noise compared to the other two controllers.