Multivariable PID Controller for Unidentified Plant

1982 ◽  
Vol 104 (3) ◽  
pp. 270-274 ◽  
Author(s):  
S. Thompson
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Pid Controller ◽  
Nuclear Power ◽  
Distillation Column ◽  
Open Loop ◽  
Pid Controllers ◽  
Simulation Studies ◽  
Plant Simulation

A procedure is presented for designing multivariable controllers for unidentified plant. It is assumed that the open-loop plant is stable and its response to step inputs are basically nonoscillatory. For such plant, no mathematical model is required in order to generate multivariable I, PI, or PID controllers. Method of tuning the controllers are also presented and demonstrated, first on a low order linear distillation column model, and finally on a high order, nonlinear, once-through boiler model typical of the type used in nuclear power plant simulation studies.

ABWR power tests simulation by using a dual RELAP5 nuclear power plant simulation platform

2012 ◽  
Vol 249 ◽  
pp. 41-48 ◽  
Author(s):  
Chung-Yu Yang ◽  
L.C. Dai ◽  
Thomas K.S. Liang ◽  
B.S. Pei ◽  
C.K. Shih ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Simulation Platform ◽  
Plant Simulation

scholarly journals Application of Fuzzy Control in Ocean Nuclear Power Plant Control

2021 ◽  
Vol 2076 (1) ◽  
pp. 012010
Author(s):  
Chunhui Dai ◽  
Ping Song ◽  
Lie Chen ◽  
Xingsheng Lao ◽  
Kelong Zhang
Keyword(s):  
Mathematical Model ◽  
Power Plant ◽  
Nuclear Power Plant ◽  
Fuzzy Control ◽  
Water Level ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Fuzzy Controller ◽  
Good Control

Abstract In marine nuclear power plants based on molten salt reactors, the complexity of core nuclear reactions, fuel fluidity, and the “false” water level characteristics of the steam generator water level make it unrealistic to establish an accurate mathematical model, so it is difficult to implement traditional PID control methods. This has increased substantially. The fuzzy control has a good solution to this feature. Therefore, combined with the fuzzy control that does not depend on the precise mathematical model of the controlled object, the fuzzy controller of the nuclear power plant is designed, and the control research of the core power is obtained respectively through MATLAB/Simulink simulation. It shows that the designed fuzzy controller can achieve good control of nuclear power plants.

Rancor: A Gamified Microworld Nuclear Power Plant Simulation for Engineering Psychology Research and Process Control Applications

2017 ◽  
Vol 61 (1) ◽  
pp. 398-402 ◽  
Author(s):  
Thomas A. Ulrich ◽  
Roger Lew ◽  
Steffen Werner ◽  
Ronald L. Boring
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Process Control ◽  
Nuclear Power ◽  
Research Needs ◽  
Psychology Research ◽  
Control Applications ◽  
Complex Process ◽  
Plant Simulation ◽  
Engineering Psychology

We demonstrate the development, rationale, and use of a gamified microworld nuclear power plant simulation for engineering psychology research and process control applications. The Rancor microworld was developed to address specific research needs in support of ongoing U.S. nuclear control room modernization efforts. The Rancor microworld serves as a platform for inexpensive cognitive psychology research that would otherwise not be as feasible in typical complex process control research settings. The gamified nuclear power plant simulator is simple enough that untrained, novice participants can quickly learn and control the system. The Rancor microworld is currently configured to support an investigation of attention and situation awareness in nuclear process control is discussed. The Rancor framework is flexible to support rapid modification for addressing research needs related to complex process control.

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