The Study of Water Level Fuzzy Control for Supercharged Boiler Drum

2014 ◽  
Vol 936 ◽  
pp. 2165-2170
Author(s):  
Hong Yan Zhang ◽  
Xiang Dong Jin ◽  
Hai Tao Xie

Based on the application of the fuzzy theory,we designed a state level fuzzy controller for the marine steam power system. Compared with the level PID controller and a single-stage cascade PID level controller about disturbance response, the state level controller is more suitable for marine supercharged boiler level control because of its Smaller overshoot, shorter settling time, and other characteristics.

2014 ◽  
Vol 687-691 ◽  
pp. 216-219
Author(s):  
Peng Wang ◽  
Qi Dan Zhu ◽  
Hai Tao Xie ◽  
Guo Lei Zhang

The supercharged boiler drum level as the controlled object, a high-precision simulation model was established considering the impacts of the distribution of the metal wall condensation inside the drum on the water level changes. Based on simulation model, a simulation program for pressurized boiler was prepared. The simulation results show that the performance of the state fuzzy controller is better than the PID controller.


2020 ◽  
Vol 309 ◽  
pp. 05003
Author(s):  
Fansheng Meng ◽  
Xuefei Zhang ◽  
Yan Zheng ◽  
Xi Cheng ◽  
Zhi Weng

Boiler drum water level control system is hard to develop practical mathematical model and has nonlinear, stable and delay characteristics. The traditional boiler drum water level control often uses three impulse PID control method. The existing problem of ordinary PID control strategy is: once good parameter setting, it is hard to adapt to the change of the operation of the system dynamic greatly. In order to solve the problems of the above, the research object of the subject is a certain 120 t/h boiler steam capacity, the boiler drum water level control system is designed, and the control strategies are studied. In order to obtain better contrast, the ordinary PID controller and Fuzzy controller are designed, and the control strategies of the simulation are analyzed.


2013 ◽  
Vol 1 (4) ◽  
pp. 14-18
Author(s):  
J. Pavithra ◽  
◽  
T.Kalavathi Devi ◽  
R. Mouleeshuwarapprabu ◽  
◽  
...  

Author(s):  
Turker Tekin Erguzel

Water level control is a crucial step for steam generators (SG) which are widely used to control the temperature of nuclear power plants. The control process is therefore a challenging task to improve the performance of water level control system. The performance assessment is another consideration to underline. In this paper, in order to get better control of water level, the nonlinear process was first expressed in terms of a transfer function (TF), a proportional-integral-derivative (PID) controller was then attached to the model. The parameters of the PID controller was finally optimized using particle swarm optimization (PSO). Simulation results indicate that the proposed approach can make an effective tracking of a given level set or reference trajectory.


1995 ◽  
Vol 74 (1) ◽  
pp. 43-51 ◽  
Author(s):  
Nanju Na ◽  
Keechoon Kwon ◽  
Changshik Ham ◽  
Zeungnam Bien

2021 ◽  
Vol 8 (3B) ◽  
Author(s):  
Thiago Souza Pereira de Brito ◽  
Carlos Alberto Brayner de Oliveira Lira ◽  
Wagner Eustáquio de Vasconcelos

It is well known that safety in the operation of nuclear power plants is a primary requirement because a failure of this system can result in serious problems to the environment. A nuclear reactor has several systems that help keep it in normal operation, within safety margins. Many of these systems operate in the control of variable quantities in the primary circuit of a reactor. However, nuclear reactors are nonlinear physical systems, and this introduces a complexity in the control strategies. Among several mechanisms in the thermal-hydraulic system of a reactor that actuate as a controller, the pressurizer is the component responsible for absorbing  pressure variations that occur in the primary circuit. This work aims at the development of a PID controller (Proportional Integral Derivative) based on fuzzy logic to operate in a pressurizer of a nuclear Pressurized Water Reactor. A Fuzzy Controller was developed using the process of fuzzification, inference, and defuzzification of the variables of interest to a pressurizer, then this controller was coupled to a PID Controller building a PID Controller, but oriented by Fuzzy logic. Subsequently, the PID-Fuzzy Controller was experimentally validated in a Simulation Plant in which transients like those in a PWR were conducted. The PID parameters were analyzed and adjusted for better responses and results. The results of the validation were also compared to simple controllers (on / off).


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