Robust Tube-Based Model Predictive Control for Wave Energy Converters

Yujia Zhang, Guang Li

Research output: Contribution to journalArticlepeer-review

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Abstract

This paper proposes an efficient robust tube-based model predictive control (RTMPC) strategy for energy-maximization control of wave energy converters (WECs) subject
to constraints due to safety considerations. Compared with the existing MPC strategies developed for the WEC control problem, the RTMPC method provides an effective approach to explicitly handle plant-model mismatches with guaranteed constraint satisfaction, contributing to improved energy capture efficiency. The fundamental idea is to integrate disturbance invariant sets into the MPC scheme for energy-maximization control to form a tube-based predictive controller, which enhances the robustness of MPC for a WEC without increasing online computational complexity. The resulting RTMPC controller can bound the WEC plant trajectories in a tube centered around a nominal WEC model trajectory, and uncertainties from un-modeled WEC dynamics and unmeasured disturbances can be mitigated by an error feedback portion. Numerical simulations demonstrate the effectiveness of the proposed control strategy.
Original languageEnglish
Pages (from-to)65-74
JournalIEEE Transactions on Sustainable Energy
Volume14
Issue number1
DOIs
Publication statusPublished - 1 Jan 2023

Keywords

  • Model predictive control
  • optimization of wave energy extraction efficiency
  • tube-based robust control

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