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Research on Fuzzy-PID Control Method and Its Application to Ball Mill

Author: ZhouFeng
Tutor: ShengDeRen；FengXiaoLu
School: Zhejiang University
Course: Thermal Power Engineering
Keywords: Fuzzy controller ball mill Pulverizing System Genetic Algorithm PID controller
CLC: TM621
Type: Master's thesis
Year: 2008
Downloads: 251
Quote: 1
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Abstract


Ball coal mill system is a three input and three outputs coupling system, which have characteristic of time-varying and great changes in operating conditions , and the Level of ball coal mill is hard to masuring. Thus it is difficult to apply the traditional control theory and methods to achieve the desired control.Comprehensive analysis of reasons, mainly due to characteristics of the object ball mill complex, all of coupling between the serious and Level of ball coal mill difficult to achieve accurate measurement. For the above-mentioned problems, this article measured Level of ball coal mill based on neural network software measurement technology, to provide real-time control of the material level signal, using a fuzzy - PID compound control strategy to improve ball mill The effect of control, milling system to ensure long-term security of the automatic operation.The full study in the process of milling system, the parameters of the milling system and the economic impact of object characteristics, in order to reduce the impact of coupling parameters of the first targets of a simplified, as will some of coupling to deal with disturbances . The original three input and three output coupling system simplified to three a input and a output coupling systems, and then using feed-forward decoupling, basically eliminated all of the coupling between the impact of the implementation of the follow-up control paved the way. Control Strategy choice of fuzzy - PID controller, this can be effective use of fuzzy control corresponding speed, dynamic characteristics of good and PID controller can eliminate the advantages of static poor, an increase of the robustness of the control loop, when the degeneration of the model to solve the problem .The results show that fuzzy - PID control is superior to the traditional PID control programme, by Matlab through modeling and simulation. In order to enhance closer economic ball mill, and the materials used in self-optimizing control, fuzzy - PID control of the condition to provide all kinds of settings, in a bid to achieve lower milling consumption, improve ball mill system Fan of the economic system.

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CLC: > Industrial Technology > Electrotechnical > Power generation, power plants > Power plant > Thermal power plants, thermal power stations
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