scholarly journals Fuzzy control and simulation of boiler drum water level

2020 ◽  
Vol 309 ◽  
pp. 05003
Author(s):  
Fansheng Meng ◽  
Xuefei Zhang ◽  
Yan Zheng ◽  
Xi Cheng ◽  
Zhi Weng
Keyword(s):  
Control System ◽  
Water Level ◽  
Pid Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Control Strategies ◽  
Level Control ◽  
Level Control System ◽  
Boiler Drum ◽  
The Subject

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.

The Fuzzy Self-Tuning PID Control for Boiler Drum Water Level

2012 ◽  
Vol 198-199 ◽  
pp. 1231-1234 ◽  
Author(s):  
Yong Sheng Zhang ◽  
Shu Qin Zhao
Keyword(s):  
Fuzzy Logic ◽  
Water Level ◽  
Pid Control ◽  
Control Method ◽  
Effective Control ◽  
Level Control ◽  
Quality Of Water ◽  
Self Tuning ◽  
Boiler Drum ◽  
Time Lagged

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.

The Application of Three Impulse Cascade in Drum Water Level Control System

2012 ◽  
Vol 485 ◽  
pp. 123-126 ◽  
Author(s):  
Yun Jing Liu ◽  
Feng Wen Wang
Keyword(s):  
Control System ◽  
Water Level ◽  
Pid Control ◽  
Power Plants ◽  
Steam Boiler ◽  
Fuzzy Pid ◽  
Level Control ◽  
Fuzzy Pid Control ◽  
Level Control System ◽  
Cascade Control System

Steam boiler supplies steam of certain quality in industry process according to the changes of load. It is important of most power plants and has been concerned with analyzing power system dynamics in various works. Drum water level is one of the main processes in the boiler. Because of the phenomenon of false water level, three measurement signals including drum water level, water supply flow and steam flow are introduced. In this paper three impulses Cascade control system with fuzzy PID control is presented, and simulation is performed based on MATLAB.

Biomass Boiler Drum Water Level Control System Using Neural Networks

2014 ◽  
Vol 541-542 ◽  
pp. 1260-1265
Author(s):  
V. Kalaichelvi ◽  
R.K. Ganesh Ram ◽  
R. Karthikeyan
Keyword(s):  
Neural Network ◽  
Control System ◽  
Water Level ◽  
Water System ◽  
Biomass Energy ◽  
Level Control ◽  
Biomass Boiler ◽  
Level Control System ◽  
Neural Network Controller ◽  
Boiler Drum

.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.

scholarly journals Active Fault Tolerant Control System for the Measurement Circuit in a Drum Boiler Feed-Water Control System

2018 ◽  
Vol 51 (1-2) ◽  
pp. 4-15 ◽  
Author(s):  
Mariusz Pawlak
Keyword(s):  
Control System ◽  
Water Level ◽  
Control Systems ◽  
Power Unit ◽  
Fault Tolerant ◽  
Diagnostic System ◽  
Fault Tolerant Control ◽  
Level Control ◽  
Level Control System ◽  
Boiler Drum

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.

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