MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system
Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability. Recently, the minimum output variance filtered-reference least mean square (MOV-FxLMS) algorithm was shown to have optima...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
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| Online Access: | https://hdl.handle.net/10356/169089 |
| _version_ | 1826119865463734272 |
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| author | Lai, Chung Kwan Shi, Dongyuan Lam, Bhan Gan, Woon-Seng |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Lai, Chung Kwan Shi, Dongyuan Lam, Bhan Gan, Woon-Seng |
| author_sort | Lai, Chung Kwan |
| collection | NTU |
| description | Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability. Recently, the minimum output variance filtered-reference least mean square (MOV-FxLMS) algorithm was shown to have optimal control under output constraint with an analytically formulated penalty factor, but it needs offline knowledge of disturbance power and secondary path gain. The constant penalty factor in MOV-FxLMS is also susceptible to variations in disturbance power that could cause output power constraint violations. This letter presents a new variable penalty factor that utilizes the estimated disturbance in the established Modified-FxLMS (MFxLMS) algorithm, resulting in a computationally efficient MOV-MFxLMS algorithm that can adapt to changes in disturbance levels in real-time. Numerical simulation with real noise and plant response showed that the variable penalty factor always manages to meet its maximum power output constraint despite sudden changes in disturbance power, whereas the fixed penalty factor has suffered from a constraint mismatch. |
| first_indexed | 2024-10-01T05:07:06Z |
| format | Journal Article |
| id | ntu-10356/169089 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:07:06Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1690892023-07-07T15:39:51Z MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system Lai, Chung Kwan Shi, Dongyuan Lam, Bhan Gan, Woon-Seng School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Active Noise Control Output Power Constraint Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability. Recently, the minimum output variance filtered-reference least mean square (MOV-FxLMS) algorithm was shown to have optimal control under output constraint with an analytically formulated penalty factor, but it needs offline knowledge of disturbance power and secondary path gain. The constant penalty factor in MOV-FxLMS is also susceptible to variations in disturbance power that could cause output power constraint violations. This letter presents a new variable penalty factor that utilizes the estimated disturbance in the established Modified-FxLMS (MFxLMS) algorithm, resulting in a computationally efficient MOV-MFxLMS algorithm that can adapt to changes in disturbance levels in real-time. Numerical simulation with real noise and plant response showed that the variable penalty factor always manages to meet its maximum power output constraint despite sudden changes in disturbance power, whereas the fixed penalty factor has suffered from a constraint mismatch. Published version 2023-07-07T08:01:03Z 2023-07-07T08:01:03Z 2023 Journal Article Lai, C. K., Shi, D., Lam, B. & Gan, W. (2023). MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system. IEEE Signal Processing Letters, 30, 723-727. https://dx.doi.org/10.1109/LSP.2023.3286808 1070-9908 https://hdl.handle.net/10356/169089 10.1109/LSP.2023.3286808 30 723 727 en IEEE Signal Processing Letters © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/LSP.2023.3286808. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Active Noise Control Output Power Constraint Lai, Chung Kwan Shi, Dongyuan Lam, Bhan Gan, Woon-Seng MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title | MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title_full | MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title_fullStr | MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title_full_unstemmed | MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title_short | MOV-modified-FxLMS algorithm with variable penalty factor in a practical power output constrained active control system |
| title_sort | mov modified fxlms algorithm with variable penalty factor in a practical power output constrained active control system |
| topic | Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Active Noise Control Output Power Constraint |
| url | https://hdl.handle.net/10356/169089 |
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