Vibration control in smart structures is discussed in this paper using an approach based on connecting collocated control elements to one another via a network with certain topology. Consensus method is implemented to force disagreements between the control agents of the structure to zero, where each control agent consists of a multi-mode Positive Position Feedback (PPF) second-order compensator. Multi-agent state-space representation of actuator/sensor elements is used, accompanied with an optimal state-estimator. The consensus law is embedded in the dynamics of the PPF control elements. Required conditions for stability of the closed-loop multi-agent system are then extracted. Performance of the controller is numerically investigated, and synchronization of controller agents is examined. Significant advantage of the decentralized consensus-based vibration controller over centralized forms is in robustness to failure of components or an entire agent, and obtained synchronized performance of the whole control system.
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ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
September 21–23, 2015
Colorado Springs, Colorado, USA
Conference Sponsors:
- Aerospace Division
ISBN:
978-0-7918-5729-8
PROCEEDINGS PAPER
Network-Based Active Vibration Control of Collocated Actuator/Sensor Structures via Consensus Positive Position Feedback Available to Purchase
Ehsan Omidi,
Ehsan Omidi
The University of Alabama, Tuscaloosa, AL
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Nima Mahmoodi
Nima Mahmoodi
The University of Alabama, Tuscaloosa, AL
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Ehsan Omidi
The University of Alabama, Tuscaloosa, AL
Nima Mahmoodi
The University of Alabama, Tuscaloosa, AL
Paper No:
SMASIS2015-9016, V001T03A019; 7 pages
Published Online:
January 11, 2016
Citation
Omidi, E, & Mahmoodi, N. "Network-Based Active Vibration Control of Collocated Actuator/Sensor Structures via Consensus Positive Position Feedback." Proceedings of the ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Volume 1: Development and Characterization of Multifunctional Materials; Mechanics and Behavior of Active Materials; Modeling, Simulation and Control of Adaptive Systems. Colorado Springs, Colorado, USA. September 21–23, 2015. V001T03A019. ASME. https://doi.org/10.1115/SMASIS2015-9016
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