Matches in SemOpenAlex for { <https://semopenalex.org/work/W4383896997> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W4383896997 abstract "In order to solve the problem of high computational burden of finite set multi-step model predictive current control, a neural network based predictive current control method (NMPCC) for permanent magnet synchronous motor (PMSM) model was proposed. Firstly, the traditional one-step model predicted current control model was established, and the nerve dissociation was trained to learn and approximate the voltage vector selection rule of the one-step model predicted current control, so as to replace the one-step model predicted current control algorithm. The simulation verifies the feasibility of using neural network instead of one step model to predict current control algorithm. For multi-step control, calculation burden will increase exponentially with the increase of step, but output voltage vectors will not change. Therefore, a neural-network-based two-step MPCC for PMSM established. Simulation results show neural network operates well instead to two-step MPCC controller with almost the same control performance. And two-step MPCC requires 56 predictive calculations, while the number of classification tasks for neural network control is still 7. Real-time experiments show the real-time performance of neural network is better than two-step MPCC and calculation time is decreased by 29.58%." @default.
- W4383896997 created "2023-07-12" @default.
- W4383896997 creator A5012523455 @default.
- W4383896997 creator A5062665642 @default.
- W4383896997 creator A5081491138 @default.
- W4383896997 creator A5081988677 @default.
- W4383896997 creator A5086127180 @default.
- W4383896997 creator A5086612025 @default.
- W4383896997 date "2023-06-16" @default.
- W4383896997 modified "2023-09-27" @default.
- W4383896997 title "Model Predictive Current Control for Permanent Magnet Synchronous Motor based on Neural Network" @default.
- W4383896997 cites W2097050168 @default.
- W4383896997 cites W2153925125 @default.
- W4383896997 cites W2344031049 @default.
- W4383896997 cites W2548618581 @default.
- W4383896997 cites W2609027682 @default.
- W4383896997 cites W2970115434 @default.
- W4383896997 cites W2989892707 @default.
- W4383896997 cites W3033928040 @default.
- W4383896997 cites W3044294630 @default.
- W4383896997 cites W3153963091 @default.
- W4383896997 cites W3209067995 @default.
- W4383896997 cites W3211263026 @default.
- W4383896997 cites W4220785482 @default.
- W4383896997 doi "https://doi.org/10.1109/precede57319.2023.10174503" @default.
- W4383896997 hasPublicationYear "2023" @default.
- W4383896997 type Work @default.
- W4383896997 citedByCount "0" @default.
- W4383896997 crossrefType "proceedings-article" @default.
- W4383896997 hasAuthorship W4383896997A5012523455 @default.
- W4383896997 hasAuthorship W4383896997A5062665642 @default.
- W4383896997 hasAuthorship W4383896997A5081491138 @default.
- W4383896997 hasAuthorship W4383896997A5081988677 @default.
- W4383896997 hasAuthorship W4383896997A5086127180 @default.
- W4383896997 hasAuthorship W4383896997A5086612025 @default.
- W4383896997 hasConcept C119599485 @default.
- W4383896997 hasConcept C121332964 @default.
- W4383896997 hasConcept C127413603 @default.
- W4383896997 hasConcept C133731056 @default.
- W4383896997 hasConcept C148043351 @default.
- W4383896997 hasConcept C152060993 @default.
- W4383896997 hasConcept C154945302 @default.
- W4383896997 hasConcept C165801399 @default.
- W4383896997 hasConcept C172205157 @default.
- W4383896997 hasConcept C203479927 @default.
- W4383896997 hasConcept C2775924081 @default.
- W4383896997 hasConcept C2780704645 @default.
- W4383896997 hasConcept C41008148 @default.
- W4383896997 hasConcept C47446073 @default.
- W4383896997 hasConcept C50644808 @default.
- W4383896997 hasConcept C62520636 @default.
- W4383896997 hasConcept C6557445 @default.
- W4383896997 hasConcept C80962145 @default.
- W4383896997 hasConcept C86803240 @default.
- W4383896997 hasConceptScore W4383896997C119599485 @default.
- W4383896997 hasConceptScore W4383896997C121332964 @default.
- W4383896997 hasConceptScore W4383896997C127413603 @default.
- W4383896997 hasConceptScore W4383896997C133731056 @default.
- W4383896997 hasConceptScore W4383896997C148043351 @default.
- W4383896997 hasConceptScore W4383896997C152060993 @default.
- W4383896997 hasConceptScore W4383896997C154945302 @default.
- W4383896997 hasConceptScore W4383896997C165801399 @default.
- W4383896997 hasConceptScore W4383896997C172205157 @default.
- W4383896997 hasConceptScore W4383896997C203479927 @default.
- W4383896997 hasConceptScore W4383896997C2775924081 @default.
- W4383896997 hasConceptScore W4383896997C2780704645 @default.
- W4383896997 hasConceptScore W4383896997C41008148 @default.
- W4383896997 hasConceptScore W4383896997C47446073 @default.
- W4383896997 hasConceptScore W4383896997C50644808 @default.
- W4383896997 hasConceptScore W4383896997C62520636 @default.
- W4383896997 hasConceptScore W4383896997C6557445 @default.
- W4383896997 hasConceptScore W4383896997C80962145 @default.
- W4383896997 hasConceptScore W4383896997C86803240 @default.
- W4383896997 hasLocation W43838969971 @default.
- W4383896997 hasOpenAccess W4383896997 @default.
- W4383896997 hasPrimaryLocation W43838969971 @default.
- W4383896997 hasRelatedWork W1520642054 @default.
- W4383896997 hasRelatedWork W1918896572 @default.
- W4383896997 hasRelatedWork W2067252346 @default.
- W4383896997 hasRelatedWork W2158007378 @default.
- W4383896997 hasRelatedWork W2588492991 @default.
- W4383896997 hasRelatedWork W2770100537 @default.
- W4383896997 hasRelatedWork W2912010093 @default.
- W4383896997 hasRelatedWork W2941787638 @default.
- W4383896997 hasRelatedWork W3161223448 @default.
- W4383896997 hasRelatedWork W4229642751 @default.
- W4383896997 isParatext "false" @default.
- W4383896997 isRetracted "false" @default.
- W4383896997 workType "article" @default.