Computationally efficient predictive torque control strategies without weighting factors
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Scientific And Technological Research Council Turkey
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Predictive torque control (PTC) is a promising control method for electric machines due to its simplicity, fast dynamics, ability to handle nonlinearities, and easy inclusion of additional control objectives. The main challenge in conventional PTC design is to determine the weighting factors in the cost function. These weighting factors are generally chosen by the trial-and-error method or metaheuristic optimization algorithms, but these methods may not apply the optimum voltage vectors according to changing operating conditions. There are also several studies on the elimination of the weighting factors. This paper proposes two weighting factorless PTC strategies with lower computational complexities than the current literature. To demonstrate the superiority of the proposed methods, their performances are experimentally compared to those of the existing methods through a test bed equipped with an induction motor. Finally, two PTC strategies with a simple design and improved performance are introduced to the literature.
Açıklama
Anahtar Kelimeler
Electric motor drive, induction motor, predictive torque control, model predictive control, Induction-Motor Drives, Flux Control, Optimization, Machines
Kaynak
Turkish Journal Of Electrical Engineering And Computer Sciences
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
30
Sayı
7
