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
1964 ◽  
Author(s):  
A. N. Nahavandi ◽  
A. Batenburg

2021 ◽  
Author(s):  
Yonglu Du ◽  
Haotian Li ◽  
Minrui Fei ◽  
Ling Wang ◽  
Pinggai Zhang ◽  
...  

Author(s):  
Dan Guo ◽  
Hong Xia

Steam generator (SG) water level system is a highly complex nonlinear time-varying system. It is complicated at low power levels due to shrink and swell phenomena which must be considered for plant safety and availability. To improve the transient performance of the SG level subject to power adjustments, an innovative set-point function method is put forward in this paper. The set-point functions based on the inverse-control theory and the swell and shrink effect which generate a desirable reference input to the widespread cascade Proportional Integral Derivative (PID) controller of the level control system respectively. The set-point function can apply appropriate control to the feed-water flow rate duly depended on the pivotal time between the power adjustment decision and the real start time of adjustment. Finally, comparative simulation is carried out under the same condition of power adjustment. The simulation results demonstrate that the water level control system added set-point functions can restrain the disturbance and improve the transient performance effectively. The method added the Inverse Control-Based Set-Point (ICSP) function can achieve better control performances than the swell-based set-point (SBSP) function.


1995 ◽  
Vol 7 (1) ◽  
pp. 63-68 ◽  
Author(s):  
Junji Fukumi ◽  
◽  
Takuya Kamano ◽  
Takayuki Suzuki ◽  
Yu Kataoka ◽  
...  

This paper considers the use of a self-tuning fuzzy controller for a positioning system with a progressive wavetype ultrasonic motor. The system consists of a feedback loop with a conventional controller and a self tuning fuzzy controller. The objective of the self tuning fuzzy controller is to restrain the adverse effect of nonlinear characteristics of the motor and to improve the tracking performance. The self-tuning fuzzy controller is functionally divided into two layers. The fuzzy rules are automatically adjusted by a tuning algorithm so that the tracking error is minimized in the upper layer. In lower layer, the output signal of the self tuning fuzzy controller is obtained by fuzzy reasoning procedure. After the tuning process is completed, the tracking error almost converges to zero, and the ultrasonic motor is no longer controlled by the fixed gain feedback controller but by the self-tuning fuzzy controller. The effectiveness of the proposed self-tuning fuzzy controller is demonstrated by an experiment.


2012 ◽  
Vol 198-199 ◽  
pp. 1231-1234 ◽  
Author(s):  
Yong Sheng Zhang ◽  
Shu Qin Zhao

In order to improve the control quality of water level for boiler drum, a fuzzy self-tuning PID level controller for boiler drum was designed based on the fuzzy logic principle. The fuzzy logic toolbox and Simulink module of Matlab software were used for the modeling of the water level control system of boiler drum. Numerical simulation was implemented. The result shows that the fuzzy self-tuning PID control has such virtues as smaller overshoot, shorter regulating time and stronger robustness than conventional three-element PID control. The fuzzy self-tuning PID control is especially effective for nonlinear system like boiler with multivariable, large time lagged and strong coupling. It is a very effective control method with widely application prospect.


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