Failure of Switch Five Levels Inverter Fault on Speed Sliding Mode Controller and Speed Sliding Adaptive Neuro Fuzzy Inference Controller of Induction Machine
| Autor: | Mendaz Kheira, Bounoua Houria, Younes Mohamed, Bendaoud Abdelber |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Neuro-fuzzy
Computer science 020209 energy Inference system 020208 electrical & electronic engineering Inference 02 engineering and technology Fuzzy logic Induction machine Robustness (computer science) Control theory 0202 electrical engineering electronic engineering information engineering Inverter MATLAB computer computer.programming_language |
| Zdroj: | 2019 6th International Conference on Electrical and Electronics Engineering (ICEEE). |
| DOI: | 10.1109/iceee2019.2019.00060 |
| Popis: | The induction machine will play a role very important in the industry, but the existence of a certain defect returns their use limited as the defects of five levels inverter fault (switch fault). This article makes a study of the speed sliding mode controller (SMC) and speed sliding adaptive Neural Fuzzy inference system controller (SANFIS) with the existence of switch fault of five levels inverter to see the influence of these defects on the physical parameters of the machine. The results simulations are done by the use of Matlab/Simulink. Simulation results show clearly and robustness of controller SANFIS. |
| Databáze: | OpenAIRE |
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