Abstract
Given the importance of wave excitation force prediction in most advanced control schemes for wave energy converters, where every new wave force estimation becomes available every fraction of second, the main objective of this paper is to perform a short-term wave prediction that can meet a trade-off between low computational complexity, limited memory usage and accuracy. To this aim, two prediction algorithms are proposed using Kalman filtering theory. The proposed prediction methods are evaluated by using real measurements.
| Original language | English |
|---|---|
| Pages (from-to) | 26-37 |
| Number of pages | 12 |
| Journal | Control Engineering Practice |
| Volume | 75 |
| DOIs | |
| Publication status | Published - 1 Jun 2018 |
| Externally published | Yes |
Keywords
- Adaptive Kalman filter
- Extended Kalman filter
- Model predictive control
- Wave energy converter
- Wave force prediction