Wave excitation force estimation for wave energy converters using adaptive sliding mode observer

Zhang, Yao, Li, Guang and Zeng, Tianyi (2019) Wave excitation force estimation for wave energy converters using adaptive sliding mode observer. In 2019 American Control Conference, ACC 2019. IEEE. pp. 4803-4808 . (doi:10.23919/acc.2019.8815196).

Record type: Conference or Workshop Item (Paper)

Abstract

A novel adaptive sliding mode observer (ASMO) is proposed to achieve the real-time excitation force estimation for wave energy converters in this paper. The main advantages of the proposed observer include robustness, fast convergence speed and high estimation accuracy. The proposed ASMO is proven to be finite-time convergent with a known convergence time limit, which allows one to estimate in advance when the proposed observer starts to provide accurate information. The robustness of the proposed ASMO is guaranteed by the sliding mode structure and the adaptive method. The coefficients of the proposed observer are time-varying according to the system states and a sliding mode variable is introduced to keep the estimated dynamics close to the actual dynamics. Simulation results show the effectiveness and superiority of the proposed ASMO by comparison with the Kalman Filter.

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Published date: 12 July 2019

Additional Information: Funding Information: *The work was supported in part by the research contract from Wave Energy Scotlands Control System Programme and in part by the Newton Advanced Fellowship (NA160436) jointly funded by the Royal Society and NSFC, and in part by an EPSRC project (no.EP/P023002/1). Publisher Copyright: © 2019 American Automatic Control Council.

Venue - Dates: 2019 American Control Conference, ACC 2019, , Philadelphia, United States, 2019-07-10 - 2019-07-12