Robust Loss Minimization for Predictive Direct Torque and Flux Control of an Induction Motor With Electrical Circuit Model
| Autor: | Peyman Naderi, S. Alireza Davari, Cristian Garcia, Seyed Rasul Eftekhari, Jose Rodriguez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
020208 electrical & electronic engineering Flux 02 engineering and technology law.invention Model predictive control Direct torque control law Control theory Robustness (computer science) Electrical network 0202 electrical engineering electronic engineering information engineering Torque Electrical and Electronic Engineering Induction motor Electronic circuit |
| Zdroj: | IEEE Transactions on Power Electronics. 35:5417-5426 |
| ISSN: | 1941-0107 0885-8993 |
| Popis: | The loss model of an induction motor based on the electric circuit is known as the more comfortable model to be identified compared to the magnetic model. This model is commonly used for field-oriented control rather than direct torque control (DTC). In the recent research for applying the electric loss model for flux optimization, the core loss resistance current is ignored, since it will reduce the robustness and accuracy of the model. In this article, it is analytically proved that considering that current will reduce the sensitivity significantly. Thus, a robust loss model based on a complete electric circuit is proposed for flux optimization in predictive torque and flux control. The predictive method had been chosen because of the fast dynamic response. In order to avoid computation increase, the predictive direct voltage control is used. The validity of the proposed method is studied via experimental results. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|