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Rough Set Theory in Boiler Drum Level Control Research

Author: WangKaiZuo
Tutor: LvXiuJiang
School: Changchun University of
Course: Control Theory and Control Engineering
Keywords: Rough Set Theory Neural Network Information Fusion Clustering Fusion Control System
CLC: TP18
Type: Master's thesis
Year: 2011
Downloads: 65
Quote: 0
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Abstract


Whether it is industrial production, or in people's daily life, the boiler is a common device that can provide power and heat. Boiler control quality directly affects the quality of the production plant, production safety and people's quality of life. Boiler control problem has always been a hot topic in cybernetics. Boiler drum water level control system is nonlinear, with a lag of complex systems can not easily write an explicit mathematical model, the traditional control methods can not play a good role. Information fusion method is based on a systematic analysis of different aspects of the system described in the whole picture of the characteristics of this theory is very suitable for boiler feed water this multivariable complex systems. Rough set theory is a new deal with uncertain problem of soft computing methods, it is relative to the fuzzy set theory and DS evidence theory difference is that the rough set does not require any prior knowledge. This makes the rough set theory popular with people welcome. Rough Set Theory in decision analysis, knowledge acquisition plays an important role in other areas, this research shows that the rough set theory is applied in the boiler water level control system operating conditions and rules for the recognition, is feasible. In this paper, rough set and neural network theory, describing the boiler drum level control of the specific processes and elements. On this basis, the design based on rough set and neural network clustering fusion boiler drum level control system is proposed application of rough set theory determine the status and application of the boiler steam contracting rough set theory design of the boiler drum level control rules of the new Methods. This article first with ART-2 neural network level, feedwater flow, steam flow time series fusion, re-establishing the boiler steam contracting state decision table and rough set theory about the decision-making table subtract, draw water conditions determine rules used to determine the current system operating conditions, and then create a table and boiler water level control decisions about the use of rough set reduction and rule extraction, according to the most simple rules control the boiler water level. Finally in MATLAB simulation, simulation results show that the neural network and rough set theory boiler water level control system in the control of quality superior to the traditional three impulse PID control system. This control system hardware design using ARM-2410S, to achieve a level control system preliminary hardware design.

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CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
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