Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary Noise
Stationary random noise can be modelled as a wide-sense stationary white noise filtered by a minimum phase filter. Such filter can be used to design an optimal control filter minimising variance of the signal being the effect of the noise and the secondary sound interference. However,...
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| Format: | Article |
| Language: | English |
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Institute of Fundamental Technological Research Polish Academy of Sciences
2014-09-01
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| Series: | Archives of Acoustics |
| Subjects: | |
| Online Access: | https://acoustics.ippt.pan.pl/index.php/aa/article/view/593 |
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| _version_ | 1849318684281012224 |
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| author | Mariusz LATOS Marek PAWEŁCZYK |
| author_facet | Mariusz LATOS Marek PAWEŁCZYK |
| author_sort | Mariusz LATOS |
| collection | DOAJ |
| description | Stationary random noise can be modelled as a wide-sense
stationary white noise filtered by a minimum phase filter. Such filter can be
used to design an optimal control filter minimising variance of the signal being
the effect of the noise and the secondary sound interference. However, in many
environments the noise is subject to change. For instance, some of the noisy
devices are switched on and off, speed of some rotors or fans changes, etc. As a
result contribution of different frequency components may significantly vary in
time. Solving the optimisation problem to update control filter is rather
avoided in on-line systems. In adaptive approach there are problems with
convergence or some unpleasant transient acoustic effects. In this paper, the
fixed-parameter approach to control is appreciated. Dominating frequency
components/bands can usually be distinguished for the acoustic environment.
Then, the idea of generalised disturbance defined by a frequency window of
different type can be applied. If a reference signal, correlated with the
disturbance to be reduced is available in advance, a feedforward structure can
be applied, and otherwise, a feedback structure is used. Spectral and
inner-outer factorisations are employed in order to cope with non-minimum phase
character of the acousto-electric plant. Efficiency of the proposed approach for
both control structures is verified based on the data obtained from an active
personal headset. The generalised disturbance based control systems are
confronted with the classical Wiener control systems designed for the given
disturbance. |
| format | Article |
| id | doaj-art-1811e7d2e1a14fb083cb6a964337fdec |
| institution | Kabale University |
| issn | 0137-5075 2300-262X |
| language | English |
| publishDate | 2014-09-01 |
| publisher | Institute of Fundamental Technological Research Polish Academy of Sciences |
| record_format | Article |
| series | Archives of Acoustics |
| spelling | doaj-art-1811e7d2e1a14fb083cb6a964337fdec2025-08-20T03:50:45ZengInstitute of Fundamental Technological Research Polish Academy of SciencesArchives of Acoustics0137-50752300-262X2014-09-01344Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary NoiseMariusz LATOS0Marek PAWEŁCZYK1Silesian University of Technology, Institute of Automatic ControlSilesian University of Technology, Institute of Automatic ControlStationary random noise can be modelled as a wide-sense stationary white noise filtered by a minimum phase filter. Such filter can be used to design an optimal control filter minimising variance of the signal being the effect of the noise and the secondary sound interference. However, in many environments the noise is subject to change. For instance, some of the noisy devices are switched on and off, speed of some rotors or fans changes, etc. As a result contribution of different frequency components may significantly vary in time. Solving the optimisation problem to update control filter is rather avoided in on-line systems. In adaptive approach there are problems with convergence or some unpleasant transient acoustic effects. In this paper, the fixed-parameter approach to control is appreciated. Dominating frequency components/bands can usually be distinguished for the acoustic environment. Then, the idea of generalised disturbance defined by a frequency window of different type can be applied. If a reference signal, correlated with the disturbance to be reduced is available in advance, a feedforward structure can be applied, and otherwise, a feedback structure is used. Spectral and inner-outer factorisations are employed in order to cope with non-minimum phase character of the acousto-electric plant. Efficiency of the proposed approach for both control structures is verified based on the data obtained from an active personal headset. The generalised disturbance based control systems are confronted with the classical Wiener control systems designed for the given disturbance. https://acoustics.ippt.pan.pl/index.php/aa/article/view/593active noise controlacousto-electric pathfixed-parameter controlnon-stationary noisefeedforward controlfeedback control |
| spellingShingle | Mariusz LATOS Marek PAWEŁCZYK Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary Noise Archives of Acoustics active noise control acousto-electric path fixed-parameter control non-stationary noise feedforward control feedback control |
| title | Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary
Noise |
| title_full | Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary
Noise |
| title_fullStr | Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary
Noise |
| title_full_unstemmed | Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary
Noise |
| title_short | Feedforward vs. Feedback Fixed-Parameter H2 Control of Non-Stationary
Noise |
| title_sort | feedforward vs feedback fixed parameter h2 control of non stationary noise |
| topic | active noise control acousto-electric path fixed-parameter control non-stationary noise feedforward control feedback control |
| url | https://acoustics.ippt.pan.pl/index.php/aa/article/view/593 |
| work_keys_str_mv | AT mariuszlatos feedforwardvsfeedbackfixedparameterh2controlofnonstationarynoise AT marekpawełczyk feedforwardvsfeedbackfixedparameterh2controlofnonstationarynoise |