Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jun Zhang | - |
dc.date.accessioned | 2024-08-14T02:30:06Z | - |
dc.date.available | 2024-08-14T02:30:06Z | - |
dc.date.issued | 2022-08-31 | - |
dc.identifier.citation | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY, v. 7, no 4, page. 582-593 | en_US |
dc.identifier.issn | 2468-6557 | en_US |
dc.identifier.issn | 2468-2322 | en_US |
dc.identifier.uri | https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/cit2.12121 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/191593 | - |
dc.description.abstract | The closed-loop wireless power transfer (WPT) system can realize constant voltage output in the presence of perturbation. However, the parameter design of the controller is a difficult problem. The traditional trial-and-error method is time-consuming and difficult to find optimal parameters. A parameter optimization strategy of control systems for uncertain WPT systems using the modified genetic algorithm (MGA) is proposed. Firstly, because the system has different characteristics at different periods, the simulation process is divided into three stages. The first one is the start-up stage, in which we mainly consider the overshoot and the rate of the voltage rise. The second one is the tracking stage, in which the tracking time and switching loss are mainly considered. The third one is the stabilisation stage, in which the steady-state error and switching loss are mainly considered. Secondly, three cost functions are designed according to the characteristics of the three stages, and then the optimal controller parameters of each stage are obtained by using MGA. Finally, the effectiveness of the proposed method is verified by simulation. The optimization results show that compared with the previous parameter optimization method, the optimal controller parameters obtained by the proposed method make the WPT system achieve better performance. | en_US |
dc.description.sponsorship | This work was supported in part by the National Natural Science Foundation of China under Grant 62006124, in part by the Nature Science Foundation of Jiangsu Province under Project BK20200811, in part by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China under Grant 20KJB520006, and in part by the Startup Foundation for Introducing Talent of NUIST. | en_US |
dc.language | en_US | en_US |
dc.publisher | WILEY | en_US |
dc.relation.ispartofseries | v. 7, no 4;582-593 | - |
dc.title | Parameter optimization of control system design for uncertain wireless power transfer systems using modified genetic algorithm | en_US |
dc.type | Article | en_US |
dc.relation.no | 4 | - |
dc.relation.volume | 7 | - |
dc.identifier.doi | https://doi.org/10.1049/cit2.12121 | en_US |
dc.relation.page | 582-593 | - |
dc.relation.journal | CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY | - |
dc.contributor.googleauthor | Gao, Xudong | - |
dc.contributor.googleauthor | Cao, Wenjie | - |
dc.contributor.googleauthor | Yang, Qiang | - |
dc.contributor.googleauthor | Wang, Honglin | - |
dc.contributor.googleauthor | Wang, Xiaolei | - |
dc.contributor.googleauthor | Jin, Guang | - |
dc.contributor.googleauthor | Zhang, Jun | - |
dc.relation.code | 2022044052 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | SCHOOL OF ELECTRICAL ENGINEERING | - |
dc.identifier.pid | junzhanghk | - |
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