Model Predictive Control of a Wave Energy Converter Using Duality Techniques

Nathan Tom, Alyssa Kody, Jeffery Scruggs

Research output: Contribution to conferencePaperpeer-review

3 Scopus Citations


In this paper, a method for implementing model predictive control for vibration energy harvesting systems with the goal of maximizing generated energy is presented. This is generally a nonconvex problem, which can be computationally expensive and converging to a global minimum cannot be guaranteed. We introduce a dual-domain method to relax the nonconvex primal problem into a convex dual optimization problem, which can be performed in real time. Based on previous work, we determine when the duality gap is zero and, by extension, whether the global optimal primal solution is found. We demonstrate the algorithm on a single, buoy-type wave energy converter with energy storage constraints and power take-off force constraints.

Original languageAmerican English
Number of pages8
StatePublished - Jul 2019
Event2019 American Control Conference, ACC 2019 - Philadelphia, United States
Duration: 10 Jul 201912 Jul 2019


Conference2019 American Control Conference, ACC 2019
Country/TerritoryUnited States

Bibliographical note

Publisher Copyright:
© 2019 American Automatic Control Council.

NREL Publication Number

  • NREL/CP-5000-72819


  • energy harvesting
  • power system control
  • predictive control
  • wave power generation


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