A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier
Algorithms; Dynamic response; Electric rectifiers; Lyapunov functions; Lyapunov methods; Model predictive control; Power electronics; Robust control; Robustness (control systems); System stability; Ac-dc power conversion; Active front ends; Modified model; Robustness analysis; Stability analysis; Re...
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-227312023-05-29T14:11:53Z A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier Parvez M. Mekhilef S. Tan N.M.L. Akagi H. 57203585434 57928298500 24537965000 7102912290 Algorithms; Dynamic response; Electric rectifiers; Lyapunov functions; Lyapunov methods; Model predictive control; Power electronics; Robust control; Robustness (control systems); System stability; Ac-dc power conversion; Active front ends; Modified model; Robustness analysis; Stability analysis; Rectifying circuits This paper proposes a robust modified model predictive control (MMPC) algorithm based on Lyapunov function for a three-phase active-front-end (AFE) rectifier in order to improve the system performance as well as ensure the stability, robustness, and fast dynamic response. The proposed control technique utilizes the discrete behavior of the converter considering the unavoidable quantization errors between the controller and the control actions selected from the finite control set of the AFE rectifier. The proposed MMPC method increases the dynamic response by avoiding the calcultation of future current for every switching states. Moreover, the nonlinear system stability of the proposed MMPC technique is ensured by a 2.5 kW experimental system and the direct Lyapunov method. Detailed robustness analysis with experimental parameter variations are provided to show the efficacy of the proposed Lyapunov function based MMPC technique. � 2016 IEEE. Final 2023-05-29T06:11:53Z 2023-05-29T06:11:53Z 2016 Conference Paper 10.1109/APEC.2016.7468016 2-s2.0-84973640821 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84973640821&doi=10.1109%2fAPEC.2016.7468016&partnerID=40&md5=11242161643cee8e8a9f01d716e2a61d https://irepository.uniten.edu.my/handle/123456789/22731 2016-May 7468016 1163 1168 Institute of Electrical and Electronics Engineers Inc. Scopus |
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Algorithms; Dynamic response; Electric rectifiers; Lyapunov functions; Lyapunov methods; Model predictive control; Power electronics; Robust control; Robustness (control systems); System stability; Ac-dc power conversion; Active front ends; Modified model; Robustness analysis; Stability analysis; Rectifying circuits |
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57203585434 |
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57203585434 Parvez M. Mekhilef S. Tan N.M.L. Akagi H. |
| format |
Conference Paper |
| author |
Parvez M. Mekhilef S. Tan N.M.L. Akagi H. |
| spellingShingle |
Parvez M. Mekhilef S. Tan N.M.L. Akagi H. A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| author_sort |
Parvez M. |
| title |
A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| title_short |
A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| title_full |
A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| title_fullStr |
A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| title_full_unstemmed |
A robust modified model predictive control (MMPC) based on Lyapunov function for three-phase active-front-end (AFE) rectifier |
| title_sort |
robust modified model predictive control (mmpc) based on lyapunov function for three-phase active-front-end (afe) rectifier |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806425699390586880 |
| score |
13.189132 |