Modeling of the Initial Parameters in the Adjustment of an Oil Recovery Process Control System. Part 2. Determination of Limits on the Vectors of the State Variables and Disturbances*

2016 ◽  
Vol 52 (7-8) ◽  
pp. 452-459 ◽  
Author(s):  
S. A. Batalov
Keyword(s):  
Control System ◽  
Process Control ◽  
Oil Recovery ◽  
Recovery Process ◽  
Process Control System ◽  
The State ◽  
State Variables ◽  
System Part

Determining the state of a process control system: Current trends and future challenges

2011 ◽  
Vol 90 (2) ◽  
pp. 217-245 ◽  
Author(s):  
Y. Shardt ◽  
Y. Zhao ◽  
F. Qi ◽  
K. Lee ◽  
X. Yu ◽  
...  
Keyword(s):  
Control System ◽  
Process Control ◽  
Process Control System ◽  
The State ◽  
Current Trends ◽  
Future Challenges

scholarly journals Automated process control system of regional substations retrofit

2019 ◽  
Vol 124 ◽  
pp. 05038
Author(s):  
A.R. Mirgaleeva ◽  
K.H. Gilfanov
Keyword(s):  
Control System ◽  
Process Control ◽  
Process Control System ◽  
The State ◽  
Electricity Supply ◽  
Advantages And Disadvantages ◽  
Automated Process Control System ◽  
Digital Substation ◽  
Main Disadvantage ◽  
Automated Process

The article presents data on the state of the Digital Substation technology in Russia. Also voiced the advantages and disadvantages of this technology. Since the main disadvantage is the economic inexpediency of introducing digital substations, the article proposed a method to improve the reliability of electricity supply to regional areas.

scholarly journals Steady State Response of Linear Time Invariant Systems Modeledby Multibond Graphs

2021 ◽  
Vol 11 (4) ◽  
pp. 1717
Author(s):  
Gilberto Gonzalez Avalos ◽  
Noe Barrera Gallegos ◽  
Gerardo Ayala-Jaimes ◽  
Aaron Padilla Garcia
Keyword(s):  
Steady State ◽  
Linear Time ◽  
Direct Determination ◽  
The State ◽  
Steady State Response ◽  
State Variables ◽  
Linear Time Invariant ◽  
State Response ◽  
Time Invariant

The direct determination of the steady state response for linear time invariant (LTI) systems modeled by multibond graphs is presented. Firstly, a multiport junction structure of a multibond graph in an integral causality assignment (MBGI) to get the state space of the system is introduced. By assigning a derivative causality to the multiport storage elements, the multibond graph in a derivative causality (MBGD) is proposed. Based on this MBGD, a theorem to obtain the steady state response is presented. Two case studies to get the steady state of the state variables are applied. Both cases are modeled by multibond graphs, and the symbolic determination of the steady state is obtained. The simulation results using the 20-SIM software are numerically verified.

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