Non-causal Linear Optimal Control of Wave Energy Converters with Enhanced Robustness by Sliding Mode Control

Yao Zhang, Guang Li

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
6 Downloads (Pure)

Abstract

Sea wave energy converter control is a non-causal optimal control problem, and the control performance relies on the accuracy of wave prediction information. However, the existing wave prediction methods, such as Auto-Regressive (AR) method, extended Kalman Filter (EKF), Artificial neural network and deterministic sea wave prediction (DSWP), inevitably introduce prediction errors. This paper presents a robust non-causal linear optimal control of wave energy converters to explicitly cope with the prediction error of sea wave prediction and simultaneously compensate the modelling uncertainty caused by wave force approximations. This is achieved by designing a non-causal linear optimal control (LOC) to maximize the energy output and a sliding mode control (SMC) to compensate unmodeled WEC dynamics and wave prediction error. The parameters of both SMC and non-causal LOC are calculated off-line, which significantly enhances the real-time implementation of the proposed controller with reasonably low computational load. Simulation results demonstrate the efficacy of the proposed control strategy.
Original languageEnglish
Pages (from-to)2201-2209
Number of pages9
JournalIEEE Transactions on Sustainable Energy
Volume11
Issue number4
Early online date8 Nov 2019
DOIs
Publication statusPublished - Oct 2020
Externally publishedYes

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