Sensor Fail-Safe of PMSM Current Control System By Utilizing Current And Position State Estimation Techniques

2019 ◽  
Author(s):  
Shota Hori ◽  
Shinji Doki
Keyword(s):  
Control System ◽  
State Estimation ◽  
Current Control ◽  
Estimation Techniques ◽  
Fail Safe ◽  
Position State

Stability Analysis of Sensorless Speed Control for PMSM Considered Current Control System

2018 ◽  
Vol 138 (11) ◽  
pp. 848-856
Author(s):  
Sari Maekawa ◽  
Mariko Sugimoto ◽  
Keiichi Ishida ◽  
Masaya Nogi ◽  
Masaki Kanamori
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Speed Control ◽  
Current Control

Double Fail-Safe Attitude Control System for Artificial Meteor Microsatellite ALE-1

2021 ◽  
Vol 19 (1) ◽  
pp. 9-16
Author(s):  
Shinya FUJITA ◽  
Yuji SATO ◽  
Toshinori KUWAHARA ◽  
Yuji SAKAMOTO ◽  
Yoshihiko SHIBUYA ◽  
...  
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Attitude Control System ◽  
Fail Safe

scholarly journals A Unified Control Strategy of Distributed Generation for Grid-Connected and Islanded Operation Conditions Using an Artificial Neural Network

2021 ◽  
Vol 13 (11) ◽  
pp. 6388
Author(s):  
Karim M. El-Sharawy ◽  
Hatem Y. Diab ◽  
Mahmoud O. Abdelsalam ◽  
Mostafa I. Marei
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Control System ◽  
Distributed Generation ◽  
Control Strategy ◽  
Current Control ◽  
Operating Conditions ◽  
Pi Controllers ◽  
Artificial Neural ◽  
The Stability

This article presents a control strategy that enables both islanded and grid-tied operations of a three-phase inverter in distributed generation. This distributed generation (DG) is based on a dramatically evolved direct current (DC) source. A unified control strategy is introduced to operate the interface in either the isolated or grid-connected modes. The proposed control system is based on the instantaneous tracking of the active power flow in order to achieve current control in the grid-connected mode and retain the stability of the frequency using phase-locked loop (PLL) circuits at the point of common coupling (PCC), in addition to managing the reactive power supplied to the grid. On the other side, the proposed control system is also based on the instantaneous tracking of the voltage to achieve the voltage control in the standalone mode and retain the stability of the frequency by using another circuit including a special equation (wt = 2πft, f = 50 Hz). This utilization provides the ability to obtain voltage stability across the critical load. One benefit of the proposed control strategy is that the design of the controller remains unconverted for other operating conditions. The simulation results are added to evaluate the performance of the proposed control technology using a different method; the first method used basic proportional integration (PI) controllers, and the second method used adaptive proportional integration (PI) controllers, i.e., an Artificial Neural Network (ANN).

Design of Electric Control System of Stainless Steel Composite Plate

2013 ◽  
Vol 706-708 ◽  
pp. 716-719
Author(s):  
Jian Chu ◽  
Gang Wang
Keyword(s):  
Stainless Steel ◽  
Control System ◽  
Composite Plate ◽  
Current Control ◽  
Equipment Operation ◽  
Electric Control ◽  
Control Scheme ◽  
Steel Composite ◽  
Machine Interface ◽  
Electrical Components

This paper mainly introduced to the PLC as the core of stainless steel composite plate electric control part of the design. The system uses the converter +PLC+ man-machine interface, as the major part of roll welding machine control, because of the use of the PLC, so that the system can improve the automatic level, electrical components is reduced, reduce failure rate, improve the reliability of equipment operation. Based on the current control and speed control, so that the welding quality and welding speed has been greatly improved. In the article, mainly from the production process, and the control system hardware and software design, and the control scheme to introduce several aspects.

Comparison of state estimation techniques for nonlinear hybrid systems

SIMULATION ◽  
2016 ◽  
Vol 92 (4) ◽  
pp. 357-376
Author(s):  
Gan Zhou ◽  
Gautam Biswas ◽  
Wenfeng Zhang ◽  
Qi Zhao ◽  
Wenquan Feng
Keyword(s):  
State Estimation ◽  
Hybrid Systems ◽  
Estimation Techniques ◽  
Nonlinear Hybrid
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