Robust Control of Wave Energy Converters Using Unstructured Uncertainty

Lao, Yejun; Scruggs, Jeffrey T.

doi:10.23919/acc45564.2020.9148045

Robust Control of Wave Energy Converters Using Unstructured Uncertainty

Journal Article · Mon Jul 27 00:00:00 EDT 2020 · Proceedings of the American Control Conference (ACC)

DOI:https://doi.org/10.23919/acc45564.2020.9148045· OSTI ID:1856256

Lao, Yejun ^[1]; Scruggs, Jeffrey T. ^[2]

Univ. of Michigan, Ann Arbor, MI (United States); Re Vision Consulting
Univ. of Michigan, Ann Arbor, MI (United States)

In the design of ocean wave energy converters, proper control design is essential to the maximization of the power generation performance for the device. However, in realistic applications, this control design must be undertaken in the presence of model uncertainty. This paper considers the use of robust control theory to optimize the nominal performance for a wave energy converter in stochastic waves, subject to the constraint that the controller be stability-robust to unstructured uncertainties. We formulate the problem as a multi-objective optimal control problem, in which the primary objective is the maximization of power generation for the nominal system, and the competing objective is the norm of the uncertainty input/output channel. This optimal control problem is nonconvex, and we therefore propose an iterative algorithm that can be used to arrive at a local optimal solution. This iterative approach employs the concept of Iterative Convex Overbounding, in the context of the classical Method of Centers. Here, the methodology is demonstrated on a model of a single, buoy- type wave energy converter.

View Accepted Manuscript (DOE)

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:: 1856256

Journal Information:: Proceedings of the American Control Conference (ACC), Journal Name: Proceedings of the American Control Conference (ACC) Vol. 2020; ISSN 0743-1619

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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