Experimental Validation of a Nonlinear MPC Strategy for a Wave Energy Converter Prototype

Abstract : One of the major limitations to the development of advanced wave energy converters (WECs) control strategies are the associated computational costs. For instance, model predictive control (MPC) strategies have the potential to obtain almost optimal performance, provided that the imperfect power conversion in the power take-off (PTO) system is correctly taken into account in the optimization criterion and that the incoming wave force can be estimated and forecast. However, demanding computational requirements as well as the unresolved issue of wave force estimation have so far prevented real-time implementation and validation of such MPC strategies. In this paper, we present the successful experimental results obtained on a scaled-down prototype of the well-known Wavestar machine. Performance comparisons are provided for nonlinear MPC versus a reference PI controller.
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ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2016, Jun 2016, Busan, South Korea. Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2016, 2016, 〈10.1115/OMAE2016-54455〉
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Hoaï-Nam Nguyen, Guillaume Sabiron, Paolino Tona, Morten Kramer, Enrique Vidal Sanchez. Experimental Validation of a Nonlinear MPC Strategy for a Wave Energy Converter Prototype. ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2016, Jun 2016, Busan, South Korea. Proceedings of the ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering, OMAE2016, 2016, 〈10.1115/OMAE2016-54455〉. 〈hal-01443837〉

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