SUBMERGED ARC FURNACE ELECTRODE CONTROL BASED ON PARTICLE SWARM OPTIMIZATION FUZZY PID
The accuracy of the electrode control of the submerged arc furnace has a great impact on the efficiency of ferromanganese-silicon smelting in the furnace.The traditional PID control has low accuracy and high overshoot.Al-though fuzzy PID solves some problems and improves the control accuracy,it still cannot meet the required control re-quirements.In response to the above problems,this paper proposes a fuzzy PID control method based on particle swarm optimization,and uses the particle swarm algorithm to quickly adjust fuzzy PID parameters to solve the control pro-blems existing in traditional PID and fuzzy PID.And simulation verification was carried out in Matlab.The results show that:compared with traditional PID control and fuzzy PID control,the fuzzy PID control has reduced overshoot by 9.1%and 5.66%respectively,and has almost zero overshoot;the transition time is respectively reduced by 21.4%,12%.It can be concluded that particle swarm optimization fuzzy PID control has the advantages of short response time,almost zero overshoot,and high stability.At the same time,the improvement of control accuracy also means that the electrode position can be accurately adjusted to keep the furnace in the best reaction state more often,reducing the decrease in reaction efficiency in the furnace caused by improper operation,and also having a good impact on improving the reaction efficiency of the submerged arc furnace.
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