Alternative Water Level Controller using Artificial Intelligence for Industrial Drum Boiler.

• Main Author: Mohamed, Hasinah
• Format: Final Year Project
• Language: English
• Published: Universiti Teknologi Petronas 2004
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://utpedia.utp.edu.my/7899/1/2004%20Bachelor%20-%20Alternative%20Water%20Level%20Controller%20Using%20Artificial%20Intelligence%20For%20Industrial%20D.pdf; http://utpedia.utp.edu.my/7899/

This work is based onthe paper entitled 'Overcoming the shrinkandswell effect in water level controlstrategy on industrial drum boiler' [1], The basic function of this boiler is to produce steam. The steam will allow the turbine to function and therefore, will generate electricity to users. This paper illustrates the optimisation of loadfollowing scheme by applying 3-element controller scheme to regulate the drumboiler's water level. The PID controller is, by far the most commonly used for controlling and monitoring purposes in process plants. Nevertheless, the performance specifications ofa PID controllercould be further improved. This FinalYear Project entitled 'Alternative WaterLevel Controller usingArtificial Intelligence (AI)forIndustrialDrum Boiler'. It applies neural network, neuro-fuzzy and pre-processing to comparethe control performance ofthe steam pressureand water level ofthe boiler model. The objective of the project is to design and construct software by using Matlab, which can simulate and enhance thecontroller ofwater level andsteam pressure indrum boiler. The Artificial Intelligence approach makes it easier to conceptualize and implement control systems. Theprocess is reduced to a setofvisualizable steps. Thisis a very important point. Actually implementing a control system, even a simple control system, is more difficult than it appears. Unexpected aberrations and physical anomalies inevitably occur. In reading about AI control applications in industry, one of the significant points that stand out is: AIis usedbecause it shortens the time for engineering development. AI enables engineers to configure systems quickly without extensive experimentation andto make use of information from expert human operators who have beenperforming the task manually.