Study On Control System For Boiler Drum Water Level Based On Fuzzy Neural Network

The boiler is indispensable power equipment in many industrial processes, it not only has very high position in industry, also plays an important role in the field of life.So, the boiler safety, the effect of the control problem, the quality of the production problem and so on all need to think seriously about and solve.But in the end, all boils down to using what kind of intelligent control system to improve the automation of the process control factor, and how to improve the quality of the corresponding control.Due to steam drum water level control, combustion control, as well as the temperature control, and the water level height will directly affect the industrial site safety and economic behavior of unit operation, so the water level of control for it is a very practical value and significance to research.Because the boiler is a large, complex and super hysteresis nonlinear devices, unable to establish accurate mathematical model.Its control process is also has a very high difficulty.The original control scheme were mostly classical PID, not only low degree of automation, and the final effect is not satisfied.Based on past experience, the boiler steam drum water level control in boiler control system is a difficulty, not only the defects with fixed parameters, have to manual operation, and its control effect is not very ideal, remains to be improved.So, in order to solve this problem, in the later growing many intelligent algorithm of boiler water level control.But is still each have advantages and disadvantages, failed to reach a good state.In order to improve the control quality and optimize a better algorithm.This thesis will be treated as a substitute for the human brain, fuzzy control algorithm of fuzzy information and an ability to use own ability to learn, from sampling data automatically find together the rule of the neural network control algorithm.The optimized algorithm can automatically according to the study samples, and automatically adjust membership function, and thus designed to adapt to the current environment of fuzzy control rules.By simulation, and ultimately to verify the effectiveness of the optimized control algorithm has ability to regulatethe drum water level is getting better and better, greatly improved the traditional adaptive ability and robustness of the control system.Apply to the different controlled object, and fuzzy PID control quality than effect, apparently carried out in this paper for the optimization design of the control algorithm is feasible and reasonable.All the control schemes are designed to establish the model by Simulink, through the simulation to compare the superiority and proves that the optimized algorithm.