dc.contributor.author | Mansouri, Mohamed | |
dc.contributor.author | Bey, Mohamed | |
dc.contributor.author | Hassaine, Said | |
dc.contributor.author | Larbi, Mhamed | |
dc.contributor.author | Allaoui, Tayeb | |
dc.contributor.author | Denai, Mouloud | |
dc.date.accessioned | 2022-03-30T15:45:01Z | |
dc.date.available | 2022-03-30T15:45:01Z | |
dc.date.issued | 2022-02-10 | |
dc.identifier.citation | Mansouri , M , Bey , M , Hassaine , S , Larbi , M , Allaoui , T & Denai , M 2022 , ' Genetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generator ' , ISA Transactions . https://doi.org/10.1016/j.isatra.2022.02.004 | |
dc.identifier.issn | 0019-0578 | |
dc.identifier.uri | http://hdl.handle.net/2299/25449 | |
dc.description | © 2022 ISA. Published by Elsevier Ltd. All rights reserved. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1016/j.isatra.2022.02.004 | |
dc.description.abstract | This paper presents an optimal control scheme for a Permanent Magnet Synchronous Generator (PMSG) coupled to a wind turbine operating without a position sensor. This sensorless scheme includes two observers: The first observer uses the flux to estimate the speed. However, an increase in the temperature or a degradation of the permanent magnet characteristics will result in a demagnetization of the machine causing a drop in the flux. The second observer is therefore used to estimate these changes in the flux from the speed and guaranties the stability of the system. This structure leads to a better exchange of information between the two observers, eliminates the problem of encoder and compensates for the demagnetization problem. To improve the precision of the speed estimator, the gain of the non-linear observer is optimized using Genetic Algorithm (GA) and the speed is obtained from a modified Phase Locked Loop (PLL) method using an optimized Sliding Mode Controller (SMC). Furthermore, to enhance the convergence speed of this observer scheme and improve the performance of the system a Fast Super Twisting Sliding Mode Control (FSTSMC) is introduced to reinforce the SMC strategy. A series of simulations are presented to show the effectiveness and robustness of proposed observer scheme. | en |
dc.format.extent | 13 | |
dc.format.extent | 2610298 | |
dc.language.iso | eng | |
dc.relation.ispartof | ISA Transactions | |
dc.subject | Fast super twisting sliding mode control | |
dc.subject | Genetic algorithm | |
dc.subject | Non-salient pole PMSG | |
dc.subject | PLL | |
dc.subject | Sensorless control | |
dc.subject | Wind turbine | |
dc.subject | Control and Systems Engineering | |
dc.subject | Instrumentation | |
dc.subject | Computer Science Applications | |
dc.subject | Electrical and Electronic Engineering | |
dc.subject | Applied Mathematics | |
dc.title | Genetic algorithm optimized robust nonlinear observer for a wind turbine system based on permanent magnet synchronous generator | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Communications and Intelligent Systems | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | Department of Engineering and Technology | |
dc.description.status | Peer reviewed | |
dc.date.embargoedUntil | 2023-02-10 | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85125343308&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1016/j.isatra.2022.02.004 | |
rioxxterms.type | Journal Article/Review | |
herts.preservation.rarelyaccessed | true | |