Journal ArticleDOI
Active Noise Hybrid Time-Varying Control for Motorcycle Helmets
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TLDR
In this paper, an LTI controller is designed for a motorcycle helmet active noise control (ANC) in order to improve the resulting attenuation, which is achieved by adding an extra pair of microphones which measure the external noise that is then used as the feedforward input signal.Abstract:
Recent noise at work regulations in the EU (2003) have been established to prevent noise induced hearing loss (NIHL). This imposes better performance results to traditional feedback active noise control (ANC) in motorcycle helmets, which suffer from well known limitations. Here two new ideas are applied to this problem. First, an hybrid (feedforward/feedback) linear time invariant (LTI) controller is designed for a motorcycle helmet ANC, which improves the resulting attenuation. This is achieved by adding an extra pair of microphones which measure the external noise that is then used as the feedforward input signal. In addition and to increase even more the resulting performance, the air velocity is measured in real-time and used as the parameter which schedules a linear parameter varying (LPV) feedback (FB) controller. This is combined with the previous feedforward (FF) controller, resulting in a time-varying hybrid controller. Both hybrid, LTI and LPV controllers are designed using linear matrix inequality (LMI)-based optimization. Two experiments have been carried out to measure the relation between external noise spectra and velocity: a wind tunnel test and a freeway ride experience. The resulting controllers are tested in a simulation which uses actual data obtained from the freeway experiment. The resulting attenuations in this motivating study seem promising for future controller tests to be performed in real-time, with the adequate hardware.read more
Citations
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Journal ArticleDOI
Recent Advances on Active Noise Control: Open Issues and Innovative Applications
TL;DR: Active noise control (ANC) was developed in the early 20th century to help reduce noise as discussed by the authors, but it is still not widely used owing to the effectiveness of control algorithms, and to the physical and economical constraints of practical applications.
Journal ArticleDOI
A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach
TL;DR: A new adaptive strategy based on fractional signal processing is proposed using multi-directional step size fractional least mean square algorithm for online secondary path modeling, which outperforms other state-of-the-art methods in terms of model accuracy and convergence rate.
Journal ArticleDOI
Improving Performance of Hybrid Active Noise Control Systems for Uncorrelated Narrowband Disturbances
TL;DR: An improved hybrid ANC system that can simultaneously control both the correlated and uncorrelated noise signals is proposed and improved performance is achieved at only a small increase in computational complexity.
Journal ArticleDOI
Listening in a Noisy Environment: Integration of active noise control in audio products.
TL;DR: In this article, audio-Integrated ANC algorithms were briefly explained and several potential audio-integrated ANC products were discussed and realtime experiments were conducted to verify the performance of noise reduction.
Journal ArticleDOI
Decoupling feedforward and feedback structures in hybrid active noise control systems for uncorrelated narrowband disturbances
TL;DR: In this article, two decoupling methods are proposed to optimize the feedforward and feedback structures separately, which provide more flexibility in the design and optimization of the adaptive filters in practical active noise control (ANC) applications.
References
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LPV control of a 6-DOF vehicle
TL;DR: A linear parameter varying (LPV) controller design example for the position and attitude control of a spacecraft is presented and the six degree-of freedom (DOF) model including the aerodynamics is described.
Journal ArticleDOI
Robust synthesis of feedforward compensators
A. Giusto,Fernando Paganini +1 more
TL;DR: For linear time-invariant uncertainty, a convex method based on linear matrix inequalities (LMIs) across the frequency variable is given and the design problem is reduced exactly to a state-space LMI, and extensions to /spl Hscr//sub 2/ performance are discussed.
Journal ArticleDOI
Comparison of active noise control structures in the presence of acoustical feedback by using theh∞synthesis technique
Mingsian R. Bai,H.H. Lin +1 more
TL;DR: In this paper, the authors compared three control structures of active noise cancellation for ducts: feedback control, feedforward control, and hybrid control using a general framework of the H ∞ robust control theory.
Proceedings ArticleDOI
Further results on the design of robust H ∞ feedforward controllers and filters
Gérard Scorletti,Vincent Fromion +1 more
TL;DR: In this paper, the robust (weighted) H∞ filtering and feedback control problems are considered in the case of time variant and time invariant uncertainties and it is proved that in both cases and for both problems, both infinite dimensional convex optimization problems can be converted into finite dimensional conveX optimization problem involving linear matrix inequality (LMI) constraints.
Journal ArticleDOI
Hearing loss in motorcyclists: occupational and medicolegal aspects.
TL;DR: Over the past 10-15 years, as motorcycle development has led to quieter machines with radically improved performance, there has been increasing concern that riders are exposed to excessive noise through turbulent airflow around the helmet—so-called wind-noise.