Simplified Predictive Stator Current Phase Angle Control of Induction Motor With a Reference Manipulation Technique
| Autor: | Jose Rodriguez, S. Alireza Davari, Arash Fereidooni, Cristian Garcia |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
General Computer Science
Computer science Stator Computation 02 engineering and technology torque control law.invention Control theory law Motor drives 0202 electrical engineering electronic engineering information engineering Torque 0501 psychology and cognitive sciences General Materials Science 050107 human factors 020208 electrical & electronic engineering 05 social sciences Phase angle General Engineering Process (computing) Weighting Model predictive control lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 predictive control Induction motor |
| Zdroj: | IEEE Access, Vol 9, Pp 54173-54183 (2021) |
| ISSN: | 2169-3536 |
| Popis: | Finite control set model predictive control (FCS-MPC) is a simple method and has an appropriate dynamic response for the drive applications. Applying additional control objects, e.g., the maximum torque per ampere (MTPA), is easy in FCS-MPC because of its characteristics. A direct application of FCS-MPC to MTPA is the predictive direct angle control method. Though this method eased the MTPA process, the good result is highly sensitive to the proper selection of the weighting factor. Furthermore, finding the best phase angle needs a complicated optimization process. In this paper, the application of simplified predictive control is proposed for angle control. By this proposed method, not only the weighting factor is eliminated but also the constraints of the motor are considered in the control strategy. In this way, the phase angle is automatically controlled in the proper value due to the torque while tedious computation is avoided. Therefore, the proposed method is valid in a wide range of operating points while no optimization process is performed due to changes in speed and torque. This proposed method is evaluated by simulations and experiments. |
| Databáze: | OpenAIRE |
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