Mérigaud, Alexis and Ringwood, John (2018) Towards realistic non-linear receding-horizon spectral control of wave energy converters. Control Engineering Practice, 81. pp. 145-161. ISSN 0967-0661
Preview
Available under License Creative Commons Attribution Non-commercial Share Alike.
Download (3MB) | Preview
Abstract
Non-linear, power-maximising control of wave energy converters (WECs) can be achieved within a receding-horizon control framework, whereby an upper loop calculates a reference trajectory in real-time, ensuring maximal power absorption under operational constraints, while a tracking loop drives the device along the generated trajectory. This paper articulates the four fundamental components of such a control strategy: reference generation calculations, tracking loop, and wave excitation estimation and forecasting. The upper-loop optimisation problem is efficiently solved through a Fourier spectral method, taking into account non-linear dynamics and constraints. Tracking is achieved through a linear state feedback, combined with a non-linear feed-forward term. An extended Kalman filter is used for excitation force estimation, based on noisy WEC position and acceleration measurements. Finally, wave excitation forecasts are based on a linear predictor, whose coefficients are derived from the wave spectrum (on a sea-state-by-sea-state basis). The practical issues and trade-offs, which arise when the four components listed above are combined within a practical implementation, are investigated by means of realistic numerical simulations, using a WEC model comprising a combination of static and velocity-dependent non-linear forces.
  
  | Item Type: | Article | 
|---|---|
| Additional Information: | This paper is based upon work supported by Science Foundation Ireland under Grant No. 12/RC/2302 for the Marine Renewable Ireland (MaREI) centre. | 
| Keywords: | Wave energy converters; Power maximisation; Optimal control; Receding-horizon control; Fourier spectral control; Constraints; Non-linear systems; Trajectory tracking; Extended Kalman filter; Measurement noise; Gaussian process; | 
| Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Centre for Ocean Energy Research | 
| Item ID: | 12545 | 
| Identification Number: | 10.1016/j.conengprac.2018.08.024 | 
| Depositing User: | Professor John Ringwood | 
| Date Deposited: | 05 Mar 2020 15:38 | 
| Journal or Publication Title: | Control Engineering Practice | 
| Publisher: | Elsevier | 
| Refereed: | Yes | 
| Funders: | Science Foundation Ireland (SFI), Marine Renewable Ireland Centre | 
| Related URLs: | |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here | 
Downloads
Downloads per month over past year
 
         Share and Export
 Share and Export Share and Export
 Share and Export
