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变结构PI迭代学习及在层流冷却过程中的应用
Alternative TitleIterative learning method based on variable-structure PI and its application in laminar cooling process
片锦香; 柴天佑; 李界家
Department信息服务与智能控制技术研究室
Source Publication仪器仪表学报
ISSN0254-3087
2013
Volume34Issue:11Pages:2478-2483
Indexed ByEI ; CSCD
EI Accession number20135017075865
CSCD IDCSCD:4987673
Contribution Rank1
Funding Organization国家自然科学基金(61273031)、住建部科学技术计划(2012-K7-19)、沈阳建筑大学青年基金(2012038)资助项目
Keyword层流冷却 迭代学习 变结构pi 卷取温度 案例推理
Abstract热轧带钢层流冷却过程具有强非线性、工况条件变化剧烈、难以采用精确数学模型进行过程描述的复杂工业特性,这些特性决定了需要新的控制技术,以保证带钢最终质量。层流冷却过程的重复性使得迭代学习方法适用于冷却带钢之间(批次之间)的学习,因此提出变结构PI迭代学习方法对层流冷却过程进行设定控制,采用案例推理技术根据变化工况调整PI参数。实验研究结果证明,该方法可以对类似操作条件的带钢进行有效迭代学习,并很快找到工作点,使冷却结束后的带钢卷取温度控制在目标范围内。
Other AbstractThe hot rolled strip laminar cooling process has the features of strong nonlinearity and severely changed operating conditions, and these complex industrial features are difficult to describe with an accurate mathematic model. As a result, a new control technology is needed to ensure the final quality of the strip. The repeat characteristics of the laminar cooling process make the iterative learning method suitable for the learning between the strips (between the batches). So, the iterative learning method based on variable-structure PI is proposed to carry out the preset and control of the system in this paper, in which the parameters of PI are adjusted with the CBR (cased-based reasoning) technology according to the varying working conditions. The experiment research results show that the proposed method can find the right operating point quickly for the strips with similar working condition, and make the coiling temperature of the strips after the cooling process controlled within the target range.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/14684
Collection信息服务与智能控制技术研究室
Affiliation1.沈阳建筑大学信息与控制工程学院
2.中国科学院沈阳自动化研究所信息服务与智能控制研究室
3.东北大学自动化研究中心
4.流程工业综合自动化国家重点实验室
Recommended Citation
GB/T 7714
片锦香,柴天佑,李界家. 变结构PI迭代学习及在层流冷却过程中的应用[J]. 仪器仪表学报,2013,34(11):2478-2483.
APA 片锦香,柴天佑,&李界家.(2013).变结构PI迭代学习及在层流冷却过程中的应用.仪器仪表学报,34(11),2478-2483.
MLA 片锦香,et al."变结构PI迭代学习及在层流冷却过程中的应用".仪器仪表学报 34.11(2013):2478-2483.
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