科技通报
科技通報
과기통보
BULLETIN OF SCIENCE AND TECHNOLOGY
2014年
11期
55-57,85
,共4页
冷却速度%连铸%二冷配水%控制优化
冷卻速度%連鑄%二冷配水%控製優化
냉각속도%련주%이랭배수%공제우화
cooling rate%continuous casting%secondary cooling water distribution%control optimization
冶金连铸二次冷却控制过程中冷却速度波动较大，导致采用传统参数配水模型控制时铸坯表面温度波动较大，无法获取最佳的控制效果，极大降低了铸坯的生产质量。提出了一种基于冷却速度偏差补偿的多模型理论的连铸二冷动态控制模型，分析了铸坯表面冷却速度变化对液、固相线温度和凝固区间的干扰，运算二冷控制模型在铸坯表面冷却速度产生波动条件下铸坯的温度场，获取各冷却段水量与冷却速度、过热度和冷却速度偏差的函数关系，得到冶金连铸二冷配水的控制参数，基于控制参数构建多模型自适应控制结构，通过多个子模型对各控制参数的进行动态特性覆盖，分别对与每个控制参数进行控制器的规划，按照各子模型输出误差以及当前实际冶金连铸二冷配水误差的性能指标，分析各子模型与被控冶金连铸二冷配水过程的匹配度，将最为匹配的子模型对应控制参数的控制器应用于控制模型，实现连铸复杂生产过程的二冷水量优化控制。结果说明，所提连铸二冷控制模型控制效率高，应对实际工况实时调控与控制能力强。
冶金連鑄二次冷卻控製過程中冷卻速度波動較大，導緻採用傳統參數配水模型控製時鑄坯錶麵溫度波動較大，無法穫取最佳的控製效果，極大降低瞭鑄坯的生產質量。提齣瞭一種基于冷卻速度偏差補償的多模型理論的連鑄二冷動態控製模型，分析瞭鑄坯錶麵冷卻速度變化對液、固相線溫度和凝固區間的榦擾，運算二冷控製模型在鑄坯錶麵冷卻速度產生波動條件下鑄坯的溫度場，穫取各冷卻段水量與冷卻速度、過熱度和冷卻速度偏差的函數關繫，得到冶金連鑄二冷配水的控製參數，基于控製參數構建多模型自適應控製結構，通過多箇子模型對各控製參數的進行動態特性覆蓋，分彆對與每箇控製參數進行控製器的規劃，按照各子模型輸齣誤差以及噹前實際冶金連鑄二冷配水誤差的性能指標，分析各子模型與被控冶金連鑄二冷配水過程的匹配度，將最為匹配的子模型對應控製參數的控製器應用于控製模型，實現連鑄複雜生產過程的二冷水量優化控製。結果說明，所提連鑄二冷控製模型控製效率高，應對實際工況實時調控與控製能力彊。
야금련주이차냉각공제과정중냉각속도파동교대，도치채용전통삼수배수모형공제시주배표면온도파동교대，무법획취최가적공제효과，겁대강저료주배적생산질량。제출료일충기우냉각속도편차보상적다모형이론적련주이랭동태공제모형，분석료주배표면냉각속도변화대액、고상선온도화응고구간적간우，운산이랭공제모형재주배표면냉각속도산생파동조건하주배적온도장，획취각냉각단수량여냉각속도、과열도화냉각속도편차적함수관계，득도야금련주이랭배수적공제삼수，기우공제삼수구건다모형자괄응공제결구，통과다개자모형대각공제삼수적진행동태특성복개，분별대여매개공제삼수진행공제기적규화，안조각자모형수출오차이급당전실제야금련주이랭배수오차적성능지표，분석각자모형여피공야금련주이랭배수과정적필배도，장최위필배적자모형대응공제삼수적공제기응용우공제모형，실현련주복잡생산과정적이랭수량우화공제。결과설명，소제련주이랭공제모형공제효솔고，응대실제공황실시조공여공제능력강。
Metallurgy continuous casting and secondary cooling control in the process of cooling speed fluctuation is bigger, lead to the traditional parameters control water distribution model of slab surface temperature fluctuation is bigger, unable to get the best control effect, greatly reduces the quality of casting production. Deviation compensation is put forward based on the cooling speed of cc secondary cooling dynamic control model of model theory, analyzed the change of slab surface cooling rate, solidus temperature and the solidification range, computing the secondary cooling control model under the condition of the slab surface cooling speed fluctuations of slab temperature field, to obtain the cooling water and cooling speed, degree of superheat and cooling speed deviation function relation, and get the metallurgy continuous casting control parameters of secondary cooling water distribution and multiple model adaptive control based on control parameters and the structure, through multiple child model of the control parameters of dynamic characteristics of cover, respectively, the parameters of controller and each control planning, according to the various sub model output error and the actual metallurgical performance of cc secondary cooling water distribution error, analyze each model and accused of metallurgy continuous casting process of secondary cooling water distribution matching degrees, will be the most matching child model corresponding to the control parameters of the controller is applied to the control model, the production process of continuous casting complex optimal control of secondary cooling water. The result shows that the proposed control of high efficiency continuous casting and secondary cooling control model, real-time response to the actual working condition regulation and control ability.
