A multi-level optimization approach for the design of feedforward active structural acoustic control (ASAC) systems is presented. The formulation takes advantage that both the structural response and the acoustic radiation from a controlled structure can be completely defined in the modal domain. All the physical parameters that define the control inputs and the error sensors are defined in the modal domain in terms of the unit modal control forces and the modal error sensor components, respectively. The upper level of the optimization solves for the optimum modal parameters that minimize the total radiated acoustic power. Then, these optimum modal parameters are used in a set of lower level or physical domain optimization problems to determine the physical characteristics of the actuators and sensors to be implemented. Since the response of the system is evaluated in the upper level using a modal approach, the formulation permits the implementation of numerical techniques and/or experimental data during the design process. Therefore, the proposed methodology can be used for the design of control systems for realistic structures with complex disturbances in an efficient manner. The design formulation is illustrated for the case of a simply supported plate excited by an off-resonance disturbance.
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August 1998
August 01 1998
Structural-acoustic control system design by multi-level optimization
Héctor M. Rodrı́guez;
Héctor M. Rodrı́guez
Department of General Engineering, University of Puerto Rico, Mayagüez Campus, Mayagüez, Puerto Rico 00681-9044
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Ricardo A. Burdisso
Ricardo A. Burdisso
Vibration and Acoustics Laboratories, Department of Mechanical Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0238
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J. Acoust. Soc. Am. 104, 926–936 (1998)
Article history
Received:
August 29 1997
Accepted:
April 02 1998
Citation
Héctor M. Rodrı́guez, Ricardo A. Burdisso; Structural-acoustic control system design by multi-level optimization. J. Acoust. Soc. Am. 1 August 1998; 104 (2): 926–936. https://doi.org/10.1121/1.423338
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