Model Predictive Control of a Wave Energy Converter Using Duality Techniques

Journal Article · Thu Aug 29 00:00:00 EDT 2019 · Proceedings of the American Control Conference (ACC)

DOI:https://doi.org/10.23919/acc.2019.8814715· OSTI ID:1856254

Kody, Alyssa ^[1]; Tom, Nathan ^[2]; Scruggs, Jeffrey ^[3]

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1. Univ. of Michigan, Ann Arbor, MI (United States); Re Vision Consulting
2. National Renewable Energy Lab. (NREL), Golden, CO (United States)
3. Univ. of Michigan, Ann Arbor, MI (United States)

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. Here, we demonstrate the algorithm on a single, buoy-type wave energy converter with energy storage constraints and power take-off force constraints.

• Research Organization: Re Vision Consulting, LLC, Sacramento, CA (United States)
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
• Grant/Contract Number: EE0007173; EE0008099
• OSTI ID: 1856254
• Journal Information: Proceedings of the American Control Conference (ACC), Journal Name: Proceedings of the American Control Conference (ACC) Vol. 2019; ISSN 0743-1619
• Publisher: IEEE
• Country of Publication: United States
• Language: English

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