Optimal Sliding Mode Control of Permanent Magnet Direct Drive Linear Generator for Grid-Connected Wave Energy Conversion
Adel Elgammal and
Curtis Boodoo
Additional contact information
Adel Elgammal: The University of Trinidad and Tobago UTT, Trinidad and Tobago
Curtis Boodoo: The University of Trinidad and Tobago UTT, Trinidad and Tobago
European Journal of Engineering and Technology Research, 2021, vol. 6, issue 2, 50-57
Abstract:
the key goal of this article is on the design and optimum sliding mode control for Grid-Connected direct drive extraction method of ocean wave energy by Multi-Objective Particle Swarm Optimization (MOPSO). A Linear Permanent Magnet Generator simulates the ocean wave energy extraction system, driven by an Archimedes Wave Swing. Uncontrolled three-phase rectifiers, a three-level buck-boost converter and 3 level neutral point clamped inverter are planned grid integration of Wave Energy Conversion device. The technique monitors the three-level buck-boost converter service cycle linked to the PMLG output terminals and decides the optimum switching sequence of 3 level neutral point clamped inverter to enable the grid relation. Simulations using Matlab/Simulink were carried out to test working of the wave energy converter after the suggested optimal control method was applied under various operating settings. Various simulation test results indicate that the proposed optimum control system is tested in both normal and irregular ocean waves. And it has been shown that the control method of the MOPSO sliding mode is ideal for maximizing energy transfer efficiency. Better voltage management at the DC-link and for achieving greater controllability spectrum was accomplished by the proposed Duty-ratio optimal control system.
Keywords: Sliding Mode Control; Multi-Objective Particle Swarm Optimization (MOPSO); Archimedes Wave Swing (AWS); Linear Permanent Magnet Generator; Wave Energy Conversion (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
https://eu-opensci.org/index.php/ejeng/article/view/62362 Abstract page (text/html)
https://eu-opensci.org/index.php/ejeng/article/download/62362/12611 Full text (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:6:y:2021:i:2:id:62362
DOI: 10.24018/ejeng.2021.6.2.2362
Access Statistics for this article
More articles in European Journal of Engineering and Technology Research from European Open Science
Bibliographic data for series maintained by Support ().