A real-time self-tuning fuzzy controller through scaling factor adjustment for the steam generator of NPP

1995 ◽  
Vol 74 (1) ◽  
pp. 53-60 ◽  
Author(s):  
Chul-Hwan Jung ◽  
Chang-Shik Ham ◽  
Kuhn-Il Lee
Keyword(s):  
Real Time ◽  
Steam Generator ◽  
Fuzzy Controller ◽  
Scaling Factor ◽  
Self Tuning

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 Self-Tuning Control: Laboratory Real - Time Education

2003 ◽  
Vol 36 (10) ◽  
pp. 191-196 ◽  
Author(s):  
Vladimír Bobál ◽  
Petr Chalupa ◽  
Marek Kubalčík ◽  
Petr Dostál
Keyword(s):  
Real Time ◽  
Control Laboratory ◽  
Self Tuning

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.

Simulation of a New Self-Structured Fuzzy Controller Applied to a Temperature Control Process

2013 ◽  
Vol 4 (3) ◽  
pp. 47-57
Author(s):  
Rafik Lasri ◽  
Ignacio Rojas ◽  
Héctor Pomares ◽  
M. Nemiche
Keyword(s):  
Real Time ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Control Process ◽  
The Self ◽  
Fuzzy Controllers ◽  
Current State ◽  
Internal Parameters

A new methodology of Fuzzy Controllers that can change the internal parameters of the controller in real time is presented in this paper. The Self-structured algorithm is able to adapt their rules consequents and re-organize their MFs in real time according to the current state of the controlled plant. Via a simulation of a temperature control process, the authors have proved and demonstrated the effectiveness and usefulness of their control algorithm compared to a conventional FLC under the same condition and using the same Simulated plant.

Sign in / Sign up

Export Citation Format

Share Document