Velocity sensor fault-tolerant controller for induction machine using intelligent voting algorithm
Yükleniyor...
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
MDPI
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Nowadays, induction machines (IMs) are widely used in industrial and transportation applications (electric or hybrid ground vehicle or aerospace actuators) thanks to their significant advantages in comparison to other technologies. Indeed, there is a large demand for IMs because of their reliability, robustness, and cost-effectiveness. The objective of this paper is to improve the reliability and performance of the three-phase induction machine in case of mechanical sensor failure. Moreover, this paper will discuss the development and proposal of a fault-tolerant controller (FTC), based on the combination of a vector controller, two virtual sensors (an extended Kalman filter, or EKF, and a sliding mode observer, or SMO) and a neural voting algorithm. In this approach, the vector controller is based on a new structure of a back-stepping sliding mode controller, which incorporates a double integral sliding surface to improve the performance of the induction machine in faulty operation mode. More specifically, this controller improves the machine performance in terms of having a fast response, fewer steady-state errors, and a robust performance in the existence of uncertainty. In addition, two voting algorithms are suggested in this approach. The first is based on neural networks, which are insensitive to parameter variations and do not need to set a threshold. The second one is based on fuzzy logic. Finally, validation is carried out by simulations in healthy and faulty operation modes to prove the feasibility of the proposed FTC.
Açıklama
Anahtar Kelimeler
Induction machine, Mechanical sensor failure, Fault-tolerant control, Sensorless control, Back-stepping controller, Sliding mode observer, Extended kalman filter, Neural networks, Fuzzy logic, Voting algorithms, Reliability, Performance
Kaynak
Journal İnformation
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
15
Sayı
9
Künye
Alyoussef, F., Akrad, A., Sehab, R., Morel, C. ve Kaya, İ. (2022). Velocity sensor fault-tolerant controller for induction machine using intelligent voting algorithm. Journal İnformation, 15(9), 3084
