控制工程
控製工程
공제공정
Control Engineering of China
2015年
5期
969-974
,共6页
唐春霞%阳春华%桂卫华%贺建军%王红霞
唐春霞%暘春華%桂衛華%賀建軍%王紅霞
당춘하%양춘화%계위화%하건군%왕홍하
硅锰铁合金埋弧炉%供电系统%功率估计%神经网络
硅錳鐵閤金埋弧爐%供電繫統%功率估計%神經網絡
규맹철합금매호로%공전계통%공솔고계%신경망락
silicon-manganese submerged arc furnace%power supply system%power estimation%BP neural network
针对硅锰合金埋弧炉三相电极功率不可测、难以实现三相熔池有效功率平衡的问题,提出了基于电源中心点和熔池中心点的三相电极功率在线估计方法,通过构造电源中心点,实现对电炉变压器高压侧各相电压、相电流、相有功功率的在线测量;通过构造熔池中心点,实现了变压器低压侧三相熔池电压的在线测量,基于能量守恒原理建立了硅锰铁合金埋弧炉电极有功功率机理模型。考虑到建模过程中各种假设和简化引起的估计误差较大,采用 BP 神经网络对机理模型进行在线补偿。将该方法应用于某铁合金厂12500kVA硅锰铁合金埋弧炉三相电极功率在线测量,结果表明其有效性。
針對硅錳閤金埋弧爐三相電極功率不可測、難以實現三相鎔池有效功率平衡的問題,提齣瞭基于電源中心點和鎔池中心點的三相電極功率在線估計方法,通過構造電源中心點,實現對電爐變壓器高壓側各相電壓、相電流、相有功功率的在線測量;通過構造鎔池中心點,實現瞭變壓器低壓側三相鎔池電壓的在線測量,基于能量守恆原理建立瞭硅錳鐵閤金埋弧爐電極有功功率機理模型。攷慮到建模過程中各種假設和簡化引起的估計誤差較大,採用 BP 神經網絡對機理模型進行在線補償。將該方法應用于某鐵閤金廠12500kVA硅錳鐵閤金埋弧爐三相電極功率在線測量,結果錶明其有效性。
침대규맹합금매호로삼상전겁공솔불가측、난이실현삼상용지유효공솔평형적문제,제출료기우전원중심점화용지중심점적삼상전겁공솔재선고계방법,통과구조전원중심점,실현대전로변압기고압측각상전압、상전류、상유공공솔적재선측량;통과구조용지중심점,실현료변압기저압측삼상용지전압적재선측량,기우능량수항원리건립료규맹철합금매호로전겁유공공솔궤리모형。고필도건모과정중각충가설화간화인기적고계오차교대,채용 BP 신경망락대궤리모형진행재선보상。장해방법응용우모철합금엄12500kVA규맹철합금매호로삼상전겁공솔재선측량,결과표명기유효성。
Considering the difficulty in the measurement of three-phase electrode effective power and the difficulty in balance of three phase electrode effective power, an on-line prediction method of three-phase electrode effective power was proposed. Firstly, an electrical zero in the primary circuit and a neutral point in the melting pool bottom were designed, where the phase voltage, phase current, phase active power in the primary side of transformer as well as the melting pool phase voltage can be measured. Then, a mechanism model of three-phase electrode effective power was proposed based on Energy Conservation Method and a BP neural network based model was applied to compensate its estimated error. At last, applying this method to estimate the three-phase electrode effective power of a 12500kVA submerged arc furnace, the results show that the proposed method has good performance.