An Enhanced Finite-Control-Set Model Predictive Control Strategy for PWM Rectifiers with Filter Inductance Mismatch
| Autor: | Hong-Hee Lee, Van-Tien Le, Huu-Cong Vu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Condensed Matter::Soft Condensed Matter
Inductance Physics::Biological Physics Model predictive control Filter (video) Control theory Computer science Finite control set Astrophysics::Cosmology and Extragalactic Astrophysics Condensed Matter::Mesoscopic Systems and Quantum Hall Effect Pulse-width modulation Term (time) |
| Zdroj: | Intelligent Computing Theories and Application ISBN: 9783030845285 ICIC (2) |
| Popis: | In finite-control-set model predictive control (FCS-MPC) for PWM rectifiers, the control performance is degraded seriously when the filter inductance is mismatched. To deal with this problem, this paper proposes a simple FCS-MPC strategy for PWM rectifiers to achieve high control performance regardless of the parameter mismatch. In the proposed FCS-MPC, the predictive model is modified by adding a correction term to compensate for the uncertainty, and high prediction accuracy is maintained irrespective of the parameter mismatch. The proposed FCS-MPC shows highly improved control performance compared to conventional FCS-MPC, and its effectiveness is experimentally verified. |
| Databáze: | OpenAIRE |
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