Particle Swarm Optimization of a non-collocated MIMO PPF active vibration control of a composite sandwich plate
T. Silva, Celia Hameury, Giovanni Ferrari, Prabakaran Balasubramanian +2
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70% confidenceA particle swarm optimization algorithm is used to optimize a non-collocated MIMO PPF active vibration control system for a composite sandwich plate, achieving robust and efficient vibration reduction in both linear and nonlinear regimes.
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Abstract
Abstract Active vibration control of a free-edge rectangular sandwich plate is proposed and tested. The experimental setup consists of a honeycomb panel having a carbon-fiber reinforced polymer (CFRP) outer skins and a polymer-paper core, subjected to an orthogonal disturbance, due to an electrodynamics exciter and controlled by Macro Fibre Composite (MFC) actuators and sensors. MFC parches consist of rectangular piezoceramic rods sandwiched between layers of adhesive, electrodes and polyamide film. The MFC actuators and sensors are controlled by a programmable digital dSPACE® controller board. The control algorithm proposed in this paper is based on the Positive Position Feedback (PPF) technique and is successfully applied with different combinations of inputs/outputs (Single Input Single Output, MultiSISO, Multi Input Multi Output) in order to control the first four normal modes. The control appears to be robust and efficient in reducing vibration in linear (small amplitude) and nonlinear (large amplitude) vibrations regimes, although the structure under investigation exhibits a relativity high modal density, i.e., four resonances in a range of about 100 Hz. The control strategy allows to effectively control each resonance both individually or simultaneously.
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Identifiers
- Journal
- Volume 4B: Dynamics, Vibration, and Control
- Year
- 2014