DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 박기범 | - |
dc.contributor.author | Wang, Kun | - |
dc.contributor.author | 왕쿤 | - |
dc.date.accessioned | 2024-07-25T19:31:28Z | - |
dc.date.available | 2024-07-25T19:31:28Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045977&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320742 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 조천식모빌리티대학원, 2023.8,[iv, 39 p. :] | - |
dc.description.abstract | Finite-control-set model predictive control (FCS-MPC) shows great control performance and adaptability for different converter topologies and operating modes. However. The computation burden increases significantly for long prediction step and multi-level topology. Artificial neural network (ANN) is developed to imitate FCS-MPC controller for similar control effect with lower computation burden. However, the imitation accuracy is not good enough for single ANN. To achieve acceptable control effect using a simple ANN, this paper proposed an FCS-MPC-based dual-module controller. A off-line trained multilayer perceptron (MLP) is used to imitating the FCS-MPC. Then a dual-module structure is designed which combines MLP and FCS-MPC to increase the imitation accuracy. The simulation result shows that the accuracy of dual-module controller increases to 99.87% while the computation burden is reduced by 58.8% compared with FCS-MPC. It can achieve similarly control performance and significantly reduce computation burden. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 인공지능▼a전력 전자 컨트롤러▼a유한 제어 집합 모델 예측 제어▼aTOP-n 정확도 | - |
dc.subject | Artificial intelligence▼aPower electronics controller▼aFinite-control-set model predictive control▼aTOP-n accuracy | - |
dc.title | AI-based dual-module FCS-MPC controller designed for three-level inverter | - |
dc.title.alternative | 3레벨 인버터를 위한 AI기반의 듀얼 모듈 유한제어요쇼 모델예측제어 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :조천식모빌리티대학원, | - |
dc.contributor.alternativeauthor | Park, Ki-Bum | - |
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