Design of a reduced-order observer for Sensorless control of Dual-Active-Bridge converter

2018 ◽  
Author(s):  
NGUYEN Duy Dinh ◽  
Goro Fujita
Keyword(s):  
Sensorless Control ◽  
Reduced Order ◽  
Dual Active Bridge ◽  
Reduced Order Observer

Sensorless Control of Induction Motors by Reduced Order Observer With MCA EXIN + Based Adaptive Speed Estimation

2007 ◽  
Vol 54 (1) ◽  
pp. 150-166 ◽  
Author(s):  
Maurizio Cirrincione ◽  
Marcello Pucci ◽  
Giansalvo Cirrincione ◽  
Grard-Andr Capolino
Keyword(s):  
Induction Motors ◽  
Sensorless Control ◽  
Speed Estimation ◽  
Reduced Order ◽  
Reduced Order Observer

Reduced-Order Observer-Based Control System for Dual-Active-Bridge DC/DC Converter

2018 ◽  
Vol 54 (4) ◽  
pp. 3426-3439 ◽  
Author(s):  
Duy-Dinh Nguyen ◽  
Goro Fujita ◽  
Quang Bui-Dang ◽  
Minh Cao Ta
Keyword(s):  
Control System ◽  
Reduced Order ◽  
Dual Active Bridge ◽  
Reduced Order Observer

scholarly journals Sensorless Control of Dual-Active-Bridge Converter with Reduced-Order Proportional-Integral Observer

Energies ◽  
2018 ◽  
Vol 11 (4) ◽  
pp. 931 ◽  
Author(s):  
Duy-Dinh Nguyen ◽  
Dinh-Hoa Nguyen ◽  
Toshihisa Funabashi ◽  
Goro Fujita
Keyword(s):  
Sensorless Control ◽  
Reduced Order ◽  
Proportional Integral ◽  
Dual Active Bridge

scholarly journals Reduced-order observer for real-time implementation speed sensorless control of induction using RT-LAB software

2019 ◽  
Vol 10 (3) ◽  
pp. 1148
Author(s):  
Mansour Bechar ◽  
Abdeldjebar Hazzab ◽  
Mohamed Habbab ◽  
Pierre Sicard
Keyword(s):  
Real Time ◽  
Sensorless Control ◽  
Speed Sensorless ◽  
Reduced Order ◽  
Time Simulation ◽  
Speed Range ◽  
Reduced Order Observer ◽  
The Stability ◽  
Lyapunov’S Theorem ◽  
Wide Speed Range

In this paper, Reduced-Order Observer For Real-Time Implementation Speed Sensorless Control of Induction Using RT-LAB Softwareis presented. Speed estimation is performed through a reduced-order observer. The stability of the proposed observer is proved based on Lyapunov’s theorem. The model is initially built offline using Matlab/Simulink and implemented in real-time environment using RT-LAB package and an OP5600 digital simulator. RT-LAB configuration has two main subsystems master and console subsystems. These two subsystems were coordinated to achieve the real-time simulation. In order to verify the feasibility and effectiveness of proposed method, experimental results are presented over a wide speed range, including zero speed.

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