Título:	Constrained model predictive control for effective tonal noise attenuation in acoustic ducts
Autor(es):	Silva, Gabriela Cristina Candido da Lopes, Renato Vilela Nunes, Maria Alzira Araujo Pinto, Andre Murilo Almeida
Afiliação do autor:	University of Brasília University of Brasília University of Brasília Federal University of Lavras
Assunto:	Controle de ruído Acústica
Data de publicação:	Fev-2026
Editora:	Springer Science and Business Media LLC
Referência:	SILVA, Gabriela Cristina Candido et al. Constrained model predictive control for effective tonal noise attenuation in acoustic ducts. International Journal of Dynamics and Control, [S. l.], v. 14, n. 2, 2026. DOI: https://doi.org/10.1007/s40435-026-02007-2. Disponível em: https://doi.org/10.1007/s40435-026-02007-2
Abstract:	Active noise control (ANC) effectively reduces tonal noise in industrial ducts, particularly at low frequencies, which is crucial for maintaining a safe and compliant working environment. However, traditional algorithms, such as filtered-x least mean squares (FXLMS), struggle to handle well-known operational constraints, including actuator saturations. Conversely, model predictive control (MPC) effectively manages these constraints but encounters computational challenges, particularly in fast dynamic systems like ANC. This study presents an innovative MPC framework that explicitly addresses operational constraints while ensuring effective noise attenuation. Unlike conventional MPC applications, which treat primary noise as a disturbance in ANC, our framework utilizes primary path modeling to estimate future reference values, thereby enhancing control performance in this fast dynamic system. The methodology is validated through numerical experiments, utilizing identified primary and secondary path models in an active noise control test setup. Results demonstrate the proposed MPC framework’s practical feasibility and significant performance advantages over traditional FXLMS methods, including improved noise attenuation and robust handling of operational constraints.
Unidade Acadêmica:	Faculdade de Ciências e Tecnologias em Engenharia (FCTE) – Campus UnB Gama
Licença:	This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adap tation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copy right holder. To view a copy of this licence, visit http://creativecomm ons.org/licenses/by/4.0/.
DOI:	https://doi.org/10.1007/s40435-026-02007-2
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