Abstract
Objectives: This Study tackles how the process of Neuro-fuzzy control that allows observing and controlling the steam pressure and temperature than conventional PI at drum boiler in the power station. It is used to increase the thermal efficiency of the boiler while it has helped to maintain the Turbine not to reach wet vapor which is considered the best method, more accurate compared to the basic conventional method of PI. Methods/Statistical Analysis: The method of hybrid control was used by Neuro-fuzzy in model design simulation by the Matlab program, which led to data training and testing. It is compared with conventional method of PI (Rise Time (sec) – Settling Time (sec) – Overshoot (%) Peak – Peak Time (sec)) by tracking the temperature, steam pressure and to reach the degree of vapor in less time and accuracy. Findings: ANFIS tracks the path of parameters (Temperature – Pressure) more accurately and superior than the traditional method PID and this leads to enhanced, improved and more thermal efficient performance in a drum of the boiler. It shows that the ratio of the overshoot in the PI is 15.68 for the temperature while in the steam for pressure 13.22 bars either in Neuro-fuzzy is in both parameters zero. Thus, ANFIS seems to be more accurate in tracking and shorter time and the absence of the ratio Overshoot compared to the basic conventional method of PI. Application/Improvements: Strategy is presented in the promotion and development of control of drum steam boilers through the simulations model, which was constructed using the hybrid theory and compared to the main theory PI as shown in the results. Keywords: Drum Boiler, Hybrid Model, Neuro–Fuzzy, Thermal Power Plant, PI
Highlights
The boilers are one of the most important instruments in thermo-electrical power station especially the main burning process happens on it
Which is considered the best method, more accurate in tracking and shorter time and the absence of the ratio Overshoot compared to the Basic conventional method of PI
The architecture at ANFIS belongs to artificial intelligence networks, which are concerned with the best control, accuracy and durability of fuzzy and neural
Summary
The boilers are one of the most important instruments in thermo-electrical power station especially the main burning process happens on it. In the boiler the steam water is heated and converts to superheat steam by burning any amount of fuel. There for it is necessary to protect this part and available safety operation conduction and that’s was by controlling in some parameters of steam water that entering the boiler and the fuel. Improvement the Performance of Drum Boiler in Thermal Power Plant using Hybrid Model through the Adaptive Neuro-Fuzzy Controller boiler by tracking the temperature, steam pressure And to reach the degree of vapor in less time and accuracy, which helps to maintain the Turbine not to reach wet vapor by using Adaptive Neuro-fuzzy Inference System method.
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