Boiler drum water level control based on nonlinear valve characteristic compensation

Author(s):  
Le Wei ◽  
Peichen Xu
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.


Author(s):  
Bakthavatchalam Hemalatha ◽  
◽  
Asokan Juliet ◽  

Author(s):  
Zhelin Liu ◽  
John Michael Harris ◽  
Jichuan Liu ◽  
Shengli Yu ◽  
Mingxin Zhou

For a high pressure boiler above 1,400 psi (9.7 MPa), the boiler drum level Control and Protection systems serve two distinct, but complementary functions. The Control system needs to control drum level. Protection is done for safety. If the drum level reaches a critical level, the Protection system shuts down the boiler to avoid damage. One must meet ASME Boiler Code requirements, get the job done correctly, and minimize the number of instruments required. By ASME Boiler Code, one must have at least one Boiler Water Gauge Glass. How many Control instruments are needed? If a single boiler drum water level instrument is used and this instrument suffers a failure, there is a problem. Even if two instruments are used and one fails, one does not know which to trust. Logic dictates that one requires a minimum of three Control instruments. Before discussing Protection, it is good to discuss the characteristics of the instruments available:


2013 ◽  
Vol 433-435 ◽  
pp. 971-975
Author(s):  
Ling Da Kong ◽  
Chun Guang Tian ◽  
Ting Han ◽  
Ying Xin Guan ◽  
Xiao Juan Han

In order to implement an excellent control for boiler drum water level at a power plant, nonlinear systems with long time-delay, a new intelligent control algorithm based on cloud model theories is proposed. According to the requirements of boiler drum water level control system, a two-dimensional cloud model controller is designed by incorporating deviation signals and deviation changing rates of the drum water level as its inputs, three parameters of PID as its outputs which are adjusted real-time by generating cloud mapping rules to realize fast and accurate control for the drum water level. Computer simulation shows that the cloud model controller proposed in this paper can significantly reduce the overshoot and response time of drum water level.


2014 ◽  
Vol 541-542 ◽  
pp. 1260-1265
Author(s):  
V. Kalaichelvi ◽  
R.K. Ganesh Ram ◽  
R. Karthikeyan

.Biomass energy transforms solar energy into chemical energy and the energy is stored in the organisms internally with the help of the photosynthesis. In the biomass boiler combustion system, the boiler drum water level is an important parameter and it is a sign to measure regardless of whether boiler steaming water system is in balance. For a nonlinear process as water level control in boilers, conventional control theory is not an appropriate choice. In this study, a neural network based predictive controller is designed and implemented through simulation in MATLAB software for biomass boilers drum water level control. Performance of neural network controller is compared with conventional PID (Proportional + Integral + Derivative) controller for boiler drum water level control system and it is observed that the neural network based approach is more efficient than conventional PID controller.


2018 ◽  
Vol 51 (1-2) ◽  
pp. 4-15 ◽  
Author(s):  
Mariusz Pawlak

This paper presents a water-level control system in a drum boiler. The system was equipped with a fault tolerant control–type diagnostic system. The paper presents the results of tests conducted on the fault tolerant control system implemented in the water-level control system in a boiler drum. The diagnostics of the measurement circuits was carried out online. To that end, the appropriate partial models were developed and tested. This allowed for the application of analytical redundancy for the measurement circuits. The paper also identifies the influence of diagnostics and fault tolerance on the values of reliability indices and operating safety of a power unit. Fault tolerant control systems increase the safety of a power unit operation, and the studies described in the paper directly contribute to them. These kinds of systems have not been used so far in power unit automation. Site tests confirmed the validity of the acquired concept for the diagnostic system. Fault tolerant control systems have not been commonly applied in power engineering yet. Studies of the water-level control system in a steam drum using the fault tolerant control system for the measurement circuits as presented in the paper are original ideas, providing a new solution. All control systems made for the study fulfil their role in a satisfactory way, which results in a minor deviation in the water-level adjustment in the boiler drum. The tests confirmed the efficiency of the fault detection algorithm. The created models of the water level and flows proved to be successful. Under a no-fault condition of the facility, there were no errors in the diagnoses and the values of all residua were below the detection thresholds. This was achieved despite a high value of measurement noises. The residua helped detect minor faults.


1947 ◽  
Vol 156 (1) ◽  
pp. 139-175 ◽  
Author(s):  
H. Hillier

Data and experience are given concerning the phenomenon of hunting in naval water-tube boilers and its elimination by arranging the internal feed water distributing piping to spray the water in the steam space of the boiler drum. Various internal feed-distributing arrangements are described, and calibration tests are given of various designs of feed-distributing piping. The paper discusses the factors causing circulation in a water-tube boiler, the conditions essential to give the equilibrium necessary for steady boiler operation, and the variations which occur in the steam volume below the water level in a boiler with changes in boiler load. The characteristics of boiler hunting are discussed and an analysis is given of the various factors in the hunting cycle. It is shown that hunting is due to the existence of a continuing time-lag between the rate of feed supply and the rate of steam generation, and that the time-lag and hunting are eliminated if the feed supply is heated to boiling point before it enters the circulation circuit. A review is made of feed-distributing arrangements in service, and various points are suggested to which consideration should be given to obtain a feed-distributing arrangement which will obviate hunting with highly rated water-tube boilers. Features concerning the water level control in naval boilers fitted with augmentors are discussed.


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.


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