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A comparative analy...
A comparative analysis of linear and nonlinear control of wave energy converter for a force control application
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- Parwal, Arvind (author)
- Uppsala universitet,Uppsala University
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- Fregelius, Martin (author)
- Uppsala universitet,Uppsala University
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- Almeida, P. M. (author)
- Universidade Federal de Juiz de Fora,Federal University of Juiz de Fora
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- Svensson, Olle (author)
- Uppsala universitet,Uppsala University
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- Temiz, Irina (author)
- Uppsala universitet,Uppsala University
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- Oliveira, Janaina G.de (author)
- Universidade Federal de Juiz de Fora,Federal University of Juiz de Fora
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- Boström, Cecilia (author)
- Uppsala universitet,Uppsala University
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- Leijon, Mats, 1958 (author)
- Chalmers tekniska högskola,Chalmers University of Technology,Uppsala universitet,Uppsala University
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(creator_code:org_t)
- 2020-06-26
- 2019
- English.
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In: International Marine Energy Journal. - : European Wave and Tidal Energy Conference. - 2631-5548. ; 2:1, s. 39-50
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https://research.cha... (primary) (free)
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https://marineenergy...
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https://doi.org/10.3...
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Abstract
Subject headings
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- The aim of wave energy converters (WECs) is to harvest the energy from the ocean waves and convert into electricity. Optimizing the generator output is a vital point of research. A WEC behaves as a nonlinear system in real ocean waves and a control that approximates the behaviour of the system is required. In order to predict the behaviour of WEC, a controller is implemented with an aim to track the referenced trajectory for a force control application of the WEC. A neural model is implemented for the system identification and control of the nonlinear process with a neural nonlinear autoregressive moving average exogenous (NARMAX) model. The neural model updates the weights to reduce the error by using the Levenberg-Marquardt back-propagation algorithm for a single-input-single-output (SISO) nonlinear system. The performance of the system under the proposed scheme is compared to the same system under a PI-controller scheme, where the PI gains have been tuned accordingly, to verify the control capacity of the proposed controller. The results show a good tracking of dq (direct-quadrature) axes currents by regulating the stator currents, and hence a force control is achieved at different positions of the translator. The dynamic performance of the control is verified in a time domain analysis for the displacement of the translator.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Permanent magnet linear generator (PMLG)
- Neural NARMAX
- Current control
- Force control
- Wave energy converter
Publication and Content Type
- art (subject category)
- ref (subject category)
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