A fuzzy controller based on self-tuning rules for the nuclear steam generator water level

1997 ◽  
Vol 11 (5) ◽  
pp. 485-493 ◽  
Author(s):  
Man Gyun Na ◽  
Jae Hyung Lim
Keyword(s):  
Water Level ◽  
Steam Generator ◽  
Fuzzy Controller ◽  
Self Tuning ◽  
Tuning Rules

A study on water level control of PWR steam generator at low power and the self-tuning of its fuzzy controller

1995 ◽  
Vol 74 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Nanju Na ◽  
Keechoon Kwon ◽  
Changshik Ham ◽  
Zeungnam Bien
Keyword(s):  
Low Power ◽  
Water Level ◽  
Steam Generator ◽  
Fuzzy Controller ◽  
The Self ◽  
Level Control ◽  
Self Tuning

scholarly journals STEAM GENERATOR WATER LEVEL CONTROL

1964 ◽  
Author(s):  
A. N. Nahavandi ◽  
A. Batenburg
Keyword(s):  
Water Level ◽  
Steam Generator ◽  
Level Control

Single Degree Vibration Platform Self-Tuning Fuzzy PID Controller Design Based on AMESim

2013 ◽  
Vol 310 ◽  
pp. 518-523
Author(s):  
Zhi Qiang Chao ◽  
Xin Ze Li ◽  
Ai Hong Meng
Keyword(s):  
Hydraulic System ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Simulation Software ◽  
Fuzzy Pid ◽  
Hydraulic Simulation ◽  
Fuzzy Pid Controller ◽  
Single Degree ◽  
Self Tuning

In recent years, hydraulic simulation has become an important means to research hydraulic system, in order to enable the single degree platform vibration curve with better traceability and reach the requirement of the test, this paper represent single degree system platform stimulated by simulation software AMESim, taking the Single degree freedom vibration hydraulic system as an example, MATlab/simulink is applied to the design of the vibration platform system fuzzy PID controller. Through the comparison between the simulation test and traditional PID controller, the designed self-tuning fuzzy controller can control the platform better, with smaller overshoot, faster response, shorter adjusting time, as well as fulfill the permissible accuracy.

Water Level Control of Steam Generator in Nuclear Power Plant Based on Intelligent MFAC-PID

2021 ◽  
Author(s):  
Yonglu Du ◽  
Haotian Li ◽  
Minrui Fei ◽  
Ling Wang ◽  
Pinggai Zhang ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Water Level ◽  
Steam Generator ◽  
Nuclear Power ◽  
Level Control

Fuzzy Control of Deaerator Water-Level in Nuclear Power Station Based on MATLAB/Simulink

2013 ◽  
Vol 291-294 ◽  
pp. 2397-2402 ◽  
Author(s):  
Yan Fen Liao ◽  
Shao De Guo ◽  
Guang Yang ◽  
Xiao Qian Ma
Keyword(s):  
Water Level ◽  
Nuclear Power Station ◽  
Pid Controller ◽  
Nuclear Power ◽  
Fuzzy Pid ◽  
Power Station ◽  
Fuzzy Pid Controller ◽  
Simulink Simulation ◽  
Simulation Based ◽  
Self Tuning

Deaerator system was one of major components in nuclear power station, and the deaerator water level control was important for safe and stable operation of the nuclear power station. The deaeration system was difficult multi variables process system, which was strong coupling between water-level and pressure. In this paper, a self-tuning fuzzy PID controller was designed based on PID control and fuzzy control theory, which instead of PID controller to control deaerator water-level. Simulation based on Simulink, simulation results showed that the overshoot was 40% by using traditional PID controller, while the overshoot was 12% by using self-tuning fuzzy PID controller. On the other hand, a fuzzy decoupling control scheme was designed to solve the problem of strong coupling between water-level and pressure. Simulation based on Simulink, simulation results showed that the adaptive fuzzy PID decoupling control could get quicker response, overshoot and regulation time was shorter.

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