Model-free Predictive Torque Control of an Induction Machine Based on Parameter Estimation

Hector Young, Mahdi Nematshahi, Sanaz Sabzevari, Rasool Heydari, Freddy Flores-Bahamonde, Catalina Gonzalez, Yongchang Zhang, Jose Rodriguez

Producción científica: Contribución a los tipos de informe/libroContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

The uncertainty or variation of the electric machine parameters in predictive torque control (PTC) has a noticeable impact on the controller's performance. This paper proposes a model-free PTC strategy based on the estimation of the prediction model parameters using input and output data of the controlled system, applied to an induction machine. This approach has the advantage of not requiring a detailed previous knowledge of the system, with a high robustness to mismatch in the inductance parameters of the machine. The stator resistance is identified as a critical parameter for PTC, therefore an adaptation mechanism based on support vector regression is proposed to increase the robustness of the system. Simulation tests are carried out to validate the effectiveness of the proposed strategy.

Idioma originalInglés
Título de la publicación alojada6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas725-731
Número de páginas7
ISBN (versión digital)9781665425575
DOI
EstadoPublicada - 2021
Evento6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021 - Jinan, China
Duración: 20 nov. 202122 nov. 2021

Serie de la publicación

Nombre6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021

Conferencia

Conferencia6th IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2021
País/TerritorioChina
CiudadJinan
Período20/11/2122/11/21

Áreas temáticas de ASJC Scopus

  • Ingeniería eléctrica y electrónica
  • Ingeniería mecánica
  • Control y optimización
  • Ingeniería energética y tecnologías de la energía
  • Ingeniería de control y sistemas

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