Neural Networks trained with Sliding Mode Control for DSIM Supplied by Two Voltage Inverters on Three Levels
| Autor: | K. Sahraoui, A. Ameur, Katia Kouzi |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Scheme (programming language)
Adaptive neuro fuzzy inference system Artificial neural network Computer science 020208 electrical & electronic engineering 02 engineering and technology Tracking (particle physics) Fuzzy logic Sliding mode control Control theory 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing computer Voltage computer.programming_language |
| Zdroj: | 2018 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM). |
| Popis: | This paper addresses a sliding mode control (SMC) combined with adaptive neuro-fuzzy inference system (ANFIS), the proposed control scheme has been tested for tracking a predefined trajectory by dual-stator induction machine (DSIM). Simulation results show the effectiveness of the investigated scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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