Real-time moving horizon estimation for a vibrating active cantilever
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- 作者：Mohammad Abdollahpouri ; mohammad.abdollahpouri@stuba.sk" class="auth_mail" title="E-mail the corresponding author ; Gergely Taká ; cs ; Boris Rohaľ-Ilkiv
- 关键词：Vibrating cantilever ; Moving horizon estimation ; Extended Kalman filter ; Parameter estimation ; Real-time implementation ; Embedded systems ; Structural monitoring
- 刊名：Mechanical Systems and Signal Processing
- 出版年：2017
- 出版时间：1 March 2017
- 年：2017
- 卷：86
- 期：part_PA
- 页码：1-15
- 全文大小：1689 K
文摘
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The authors implement the moving horizon estimation (MHE) algorithm to observe the states and parameters on a vibrating active cantilever.
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The moving horizon estimation (MHE) algorithm is implemented in real-time on a low-cost Raspberry Pi computer.
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MHE is experimentally compared to the de-facto standard extended Kalman filter (EKF).
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The MHE algorithm reacts to changes and disturbances better than the EKF.
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The use of MHE estimates for adaptive vibration control and structural health assessment is viable in real-time.