Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves
Abstract
We consider feedback control design for a wave energy converter (WEC) for which the power takeoff (PTO) system has a finite stroke limit. Stationary stochastic wave loading is assumed, with a known spectrum, and the plant dynamics are assumed to be linear. We develop a technique for the design of a discrete-time controller, which has three design stages. In the first stage, a linear controller is optimized while imposing a relaxation of the maximum stroke constraint on the design. In the second stage, a tandem nonlinear feedback loop is designed for the purpose of stroke protection. In the third stage, the two designs (linear and nonlinear) are fused in a manner that preserves the stability of the overall system. The technique is demonstrated in a simulation of a simple cylindrical buoy. We show that the controller may be tuned through the adjustment of scalar design parameters, which adjust the tradeoff between the mean generated power and the force levels required to protect the stroke.
- Authors:
-
- Univ. of Texas at Dallas, Richardson, TX (United States)
- Univ. of Michigan, Ann Arbor, MI (United States)
- Re Vision Consulting, LLC, Sacramento, CA (United States)
- Publication Date:
- Research Org.:
- Re Vision Consulting, LLC, Sacramento, CA (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
- OSTI Identifier:
- 1856261
- Alternate Identifier(s):
- OSTI ID: 1856252; OSTI ID: 1856263
- Grant/Contract Number:
- EE0007173; EE0008099; EE008099
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Control Systems Technology
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 3; Journal ID: ISSN 1063-6536
- Publisher:
- IEEE
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 16 TIDAL AND WAVE POWER; nonlinear control; ocean wave energy; stochastic control
Citation Formats
Lao, Yejun, Scruggs, Jeffrey T., Karthikeyan, Anantha, and Previsic, Mirko. Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves. United States: N. p., 2021.
Web. doi:10.1109/TCST.2021.3100463.
Lao, Yejun, Scruggs, Jeffrey T., Karthikeyan, Anantha, & Previsic, Mirko. Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves. United States. https://doi.org/10.1109/TCST.2021.3100463
Lao, Yejun, Scruggs, Jeffrey T., Karthikeyan, Anantha, and Previsic, Mirko. Thu .
"Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves". United States. https://doi.org/10.1109/TCST.2021.3100463. https://www.osti.gov/servlets/purl/1856261.
@article{osti_1856261,
title = {Discrete-Time Causal Control of a Wave Energy Converter With Finite Stroke in Stochastic Waves},
author = {Lao, Yejun and Scruggs, Jeffrey T. and Karthikeyan, Anantha and Previsic, Mirko},
abstractNote = {We consider feedback control design for a wave energy converter (WEC) for which the power takeoff (PTO) system has a finite stroke limit. Stationary stochastic wave loading is assumed, with a known spectrum, and the plant dynamics are assumed to be linear. We develop a technique for the design of a discrete-time controller, which has three design stages. In the first stage, a linear controller is optimized while imposing a relaxation of the maximum stroke constraint on the design. In the second stage, a tandem nonlinear feedback loop is designed for the purpose of stroke protection. In the third stage, the two designs (linear and nonlinear) are fused in a manner that preserves the stability of the overall system. The technique is demonstrated in a simulation of a simple cylindrical buoy. We show that the controller may be tuned through the adjustment of scalar design parameters, which adjust the tradeoff between the mean generated power and the force levels required to protect the stroke.},
doi = {10.1109/TCST.2021.3100463},
journal = {IEEE Transactions on Control Systems Technology},
number = 3,
volume = 30,
place = {United States},
year = {Thu Aug 12 00:00:00 EDT 2021},
month = {Thu Aug 12 00:00:00 EDT 2021}
}
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