An Overview of Neuro-Fuzzy-Based DTC for Matrix Converter-Fed PMSM Drives

Author(s):  
Kannan Selvam ◽  
Subhanarayan Sahoo
Keyword(s):  
2019 ◽  
Vol 8 (3) ◽  
pp. 818-828 ◽  
Author(s):  
Meliani Bouziane ◽  
Meroufel Abdelkader

This paper presents the modeling, design, and simulation of an adaptive neuro fuzzy inference strategy (ANFIS) for controlling the speed of the Double Star induction Machine (DSIM), the machine is fed by three phase direct matrix converter which makes directly AC-AC power conversion is modeled using Direct Space Vector Modulation technique(DSVM)  for direct matrix converter. Double star Induction motor is characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements. Hence it can be considered as a challenging engineering problem in the industrial sector. Various advanced control techniques has been devised by various researchers across the world. Some of them are based on the neuro-fuzzy techniques. The main advantage of designing the ANFIS coordination scheme is to control the speed of the DSIM to increase the dynamic performance, to provide good stabilization. To show the effectiveness of our scheme, the proposed method was simulated on an electrical system composed of a 4.5 kW six-phase induction machine and its power inverter. Digital simulation results demonstrate that the deigned ANFIS speed controller realize a good dynamic of the DSIM, a perfect speed tracking with no overshoot, give better performance and high robustness.


2020 ◽  
Vol 12 (2) ◽  
Author(s):  
Atamurat Mambetov ◽  
Rasul Beglerbekov ◽  
Hurliman Sultanova

2015 ◽  
Vol 19 (95) ◽  
pp. 88-91
Author(s):  
Anna S. Sergiienko ◽  
◽  
Sergej S. Starostin

1996 ◽  
Vol 116 (4) ◽  
pp. 404-411 ◽  
Author(s):  
Jun Oyama ◽  
Xiaorong Xia ◽  
Tsuyoshi Higuchi ◽  
Eiji Yamada ◽  
Takashi Koga

2020 ◽  
Vol 140 (8) ◽  
pp. 623-624
Author(s):  
Shunsuke Takuma ◽  
Keisuke Kusaka ◽  
Jun-ichi Itoh

2014 ◽  
Vol 134 (11) ◽  
pp. 939-947 ◽  
Author(s):  
Keiichiro Hirokado ◽  
Naoki Yamamura ◽  
Muneaki Ishida

Sign in / Sign up

Export Citation Format

Share Document