A state-space modeling approach for active structural acoustic control

被引:2
|
作者
de Oliveira, Leopoldo P. R. [1 ,2 ]
Varoto, Paulo S. [1 ]
Sas, Paul [2 ]
Desmet, Wim [2 ]
机构
[1] Univ Sao Paulo, Engn Sch Sao Carlos, Dynam Lab, BR-13566590 Sao Carlos, SP, Brazil
[2] Katholieke Univ Leuven, Dept Mech Engn, B-3000 Louvain, Belgium
关键词
Vibro-acoustics; active-control; state-space; DESIGN;
D O I
10.1155/2009/797125
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The demands for improvement in sound quality and reduction of noise generated by vehicles are constantly increasing, as well as the penalties for space and weight of the control solutions. A promising approach to cope with this challenge is the use of active structural-acoustic control. Usually, the low frequency noise is transmitted into the vehicle's cabin through structural paths, which raises the necessity of dealing with vibro-acoustic models. This kind of models should allow the inclusion of sensors and actuators models, if accurate performance indexes are to be accessed. The challenge thus resides in deriving reasonable sized models that integrate structural, acoustic, electrical components and the controller algorithm. The advantages of adequate active control simulation strategies relies on the cost and time reduction in the development phase. Therefore, the aim of this paper is to present a methodology for simulating vibro-acoustic systems including this coupled model in a closed loop control simulation framework that also takes into account the interaction between the system and the control sensors/actuators. It is shown that neglecting the sensor/actuator dynamics can lead to inaccurate performance predictions.
引用
收藏
页码:607 / 621
页数:15
相关论文
共 50 条
  • [1] MULTIMODEL APPROACH IN STATE-SPACE PREDICTIVE CONTROL
    Rusar, Lukas
    Bobal, Vladimir
    32ND EUROPEAN CONFERENCE ON MODELLING AND SIMULATION (ECMS 2018), 2018, : 232 - 238
  • [2] Call Center Arrival Modeling: A Bayesian State-Space Approach
    Aktekin, Tevfik
    Soyer, Refik
    NAVAL RESEARCH LOGISTICS, 2011, 58 (01) : 28 - 42
  • [3] Modeling of the national economies in state-space: A fractional calculus approach
    Skovranek, Tomas
    Podlubny, Igor
    Petras, Ivo
    ECONOMIC MODELLING, 2012, 29 (04) : 1322 - 1327
  • [4] State-space approach to nonlinear predictive generalised minimum variance control
    Grimble, Mike J.
    Majecki, Pawel
    INTERNATIONAL JOURNAL OF CONTROL, 2010, 83 (08) : 1529 - 1547
  • [5] State-Space Recursive Fuzzy Modeling Approach Based on Evolving Data Clustering
    Torres L.M.M.
    de Oliveira Serra G.L.
    Journal of Control, Automation and Electrical Systems, 2018, 29 (04) : 426 - 440
  • [6] State-Space Approach to Modeling and Ripple Reduction in AC-DC Converters
    Huong Pham
    Jung, Hoeguk
    Hu, Tingshu
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (05) : 1949 - 1955
  • [7] Modeling and state-space identification of deformable mirrors
    Haber, Aleksandar
    Verhaegen, Michel
    OPTICS EXPRESS, 2020, 28 (04): : 4726 - 4740
  • [8] State-space modeling for control based on physics-informed neural networks
    Arnold, Florian
    King, Rudibert
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2021, 101
  • [9] Coherent Mortality Model in A State-Space Approach
    Nor, Siti Rohani Mohd
    Yusof, Fadhilah
    Norrulashikin, Siti Mariam
    SAINS MALAYSIANA, 2021, 50 (04): : 1101 - 1111
  • [10] Novel Fractional-Order Model Predictive Control: State-Space Approach
    Petras, Ivo
    IEEE ACCESS, 2021, 9 : 92769 - 92775