An Efficient Angle Search Algorithm for FPS-PLLs in Encoderless Control of PMVG-Based Wind Turbine System Applications
This study aims to present an efficient angle search (EAS) algorithm to improve the computational efficacy and accuracy of finite position set-phase-locked loops (FPS-PLLs), which are used in rotor position estimation of permanent magnet vernier generator (PMVG)-based wind turbine system encoder-less control applications. The angle search algorithm employed in conventional FPS-PLLs has many suboptimal search area redundancies, therefore yielding a low accuracy. To address this issue, we presented an EAS algorithm that retains the optimal values of both the cost function and angle from the previous iteration <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(i-1)$</tex-math></inline-formula> and employs them in the current iteration <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(i)$</tex-math></inline-formula>. Furthermore, we have modified the angle discretization principle to confine the search area in each subsequent iteration <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(i+1)$</tex-math></inline-formula> to the region identified as optimal in the preceding iteration <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$(i)$</tex-math></inline-formula>. The effectiveness of the presented scheme is experimentally investigated by employing it in FPS-PLLs by using a 5-kW PMVG laboratory prototype.
Authors
- Ganesh Mayilsamy (ORCID: https://orcid.org/0000-0003-0051-2770)
- Jae Hoon Jeong (ORCID: https://orcid.org/0000-0002-6371-8007)
- Seong Ryong Lee (ORCID: https://orcid.org/0000-0002-7918-8100)
- Young Hoon Joo (ORCID: https://orcid.org/0000-0002-4662-1916)
Institutions
- Kunsan National University (KR)
Publication Details
- Journal
- IEEE Transactions on Industrial Informatics
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1109/tii.2024.3485757
- Citations
- 4
- Primary Topic
- Real-time simulation and control systems
- Type
- article
- Field-Weighted Citation Impact
- 1.31
Funders
- Ministry of Education, Libya
- National Research Foundation of Korea