A Comparative Study of Model Predictive Control and Optimal Causal Control for Heaving Point Absorbers
| Autor: | Jeffrey T. Scruggs, Mirko Previsic, Anantha Karthikeyan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Naval architecture. Shipbuilding. Marine engineering VM1-989 Ocean Engineering wave-energy converter GC1-1581 Oceanography Power (physics) Constraint (information theory) Model predictive control Control theory causal control Benchmark (computing) point absorber Energy transformation Point (geometry) absorbed power Energy (signal processing) Model Predictive Control Water Science and Technology Civil and Structural Engineering |
| Zdroj: | Journal of Marine Science and Engineering, Vol 9, Iss 805, p 805 (2021) Journal of Marine Science and Engineering Volume 9 Issue 8 |
| ISSN: | 2077-1312 |
| Popis: | Efforts by various researchers in recent years to design simple causal control laws that can be applied to WEC devices suggest that these controllers can yield similar levels of energy output as those of more complex non-causal controllers. However, most studies were established without adequately considering device and power conversion system constraints which are relevant design drivers from a cost and economic point of view. It is therefore imperative to understand the benefits of MPC compared to causal control from a performance and constraint handling perspective. In this paper, we compare linear MPC to a casual controller that incorporates constraint handling to benchmark its performance on a one DoF heaving point absorber in a range of wave conditions. Our analysis demonstrates that MPC provides significant performance advantages compared to an optimized causal controller, particularly if significant constraints on device motion and/or forces are imposed. We further demonstrate that distinct control performance regions can be established that correlate well with classical point absorber and volumetric limits of the wave energy conversion device. |
| Databáze: | OpenAIRE |
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