Active Sound and Vibration Control: Theory and Applications

Part II: Recent Algorithmic Developments

Chapter List

Chapter 4: Multichannel Active Noise Control: Stable Adaptive Algorithms
Chapter 5: Adaptive Harmonic Control: Tuning in the Frequency Domain
Chapter 6: Model-Free Iterative Tuning for Periodic Noise Cancellation
Chapter 7: Model-Based Control Design for AVC
Chapter 8: Active Control of Noise and Vibration Using Neural Networks
Chapter 9: Genetic Algorithms for Optimising ASVC Systems

T. Shimizu, T. Kohno, H. Ohmori and A. SanoDepartment of System Design Engineering, Keio University Keio, Japan, Email:sano@sano.elec.keio.ac.jp

This chapter presents stable adaptive schemes in two cases: in the first case reference microphones are available to detect unwanted primary noise, and in the second case no reference microphones are available. The latter case requires no causality condition but its availability is limited to periodic primary noises. In both cases, we propose stability-assured adaptive algorithms to update the adaptive feedforward controllers.

4.1 Introduction

Active noise control, which suppresses unwanted noises generated from primary sound sources at the objective points by producing artificial sounds from secondary sound sources, has recently found more and more applications in improving industrial and living environments, since it can complement traditional passive technologies and attain better performance on attenuation of low-frequency noises [80, 103, 161, 171, 280]. Adaptive feedforward control schemes are essential to achieve the control performance even in the presence of model uncertainties and variations in sound path dynamics and microphones.

We will investigate stable adaptive schemes in two cases: in the first case reference microphones are available to detect unwanted primary noise, and in the second case...

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