Abstract | ||
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The problem of optimal sensor placement (OSP) plays an essential role in developing the active vibration control system. In this paper, the OSP for a flexible wing is addressed using the greedy algorithm. The vibration behavior of a flexible wing structure is modeled into an LPV (Linear Parameter Varying) model, and the closed-loop system performance with an ℋ
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LPV controller is considered as the objective function. Then the OSP problem is formulated into a hybrid optimization problem with integer variables and matrix-valued variables. The greedy algorithm is applied to solve for the optimal policy of sensor placement and the ℋ
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LPV controller. Simulation results demonstrate the effectiveness of this approach and illustrate the trade-off between the number of selected sensors and the best achievable closed-loop system performance. |
Year | DOI | Venue |
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2020 | 10.1109/AIM43001.2020.9158923 | 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) |
Keywords | DocType | ISSN |
optimal sensor placement,greedy algorithm,active vibration control system,vibration behavior,flexible wing structure,LPV model,Linear Parameter Varying,2 LPV controller,OSP problem,hybrid optimization problem,integer variables,matrix-valued variables,optimal policy,selected sensors,achievable closed-loop system performance | Conference | 2159-6247 |
ISBN | Citations | PageRank |
978-1-7281-6795-4 | 0 | 0.34 |
References | Authors | |
3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tianyi He | 1 | 0 | 0.34 |
Guoming Zhu | 2 | 15 | 9.55 |
Sean Shan-Min Swei | 3 | 0 | 1.69 |
Weihua Su | 4 | 0 | 0.34 |