An Enhanced Model Predictive Control Strategy to Drive PMSM with reduced Torque and Flux Ripples

Autor: Gholamreza Arab Markadeh, Masoud Nikbakht, Sahand Ghaseminejad Liasi, Karim Abbaszadeh
Rok vydání: 2020
Předmět:
Zdroj: 2020 11th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC).
DOI: 10.1109/pedstc49159.2020.9088489
Popis: PMSMs are mainly controlled using DTC and FOC. However, these methods suffer from relatively high torque and stator flux ripples. This article suggests a model-predictive control strategy in which, exploiting stator flux observer and optimized cost function, the dynamic response of the motor is improved. The stator flux and y-axis current are considered as the state variables. Stator flux observer is exploited to estimate the flux and torque angles. Moreover, a cost function with optimized coefficients are used to optimize the model. A simulation in MATLAB/Simulink is performed and the results are brought in the section V. The results illustrate that the proposed control strategy decreases the torque and stator flux ripples by over 50%. Furthermore, the stator current THD has decreased over 30%.
Databáze: OpenAIRE