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带有工况中心修正的多模型在线建模
Alternative TitleOnline modeling for multi-model by adjusting the centers of operating ranges
丛秋梅; 苑明哲; 柴天佑; 王宏
Department信息服务与智能控制技术研究室
Source Publication控制理论与应用
ISSN1000-8152
2013
Volume30Issue:6Pages:773-780
Indexed ByEI ; CSCD
EI Accession number20133416646608
CSCD IDCSCD:4876892
Contribution Rank1
Funding Organization国家重点基础研究发展计划资助项目(2009CB320601);; 创新引智计划(“111”计划)资助项目(B08015);; 国家自然科学基金资助项目(61034008,61004051);; 中国博士后科学基金面上资助项目(2013M530953)
Keyword工况 多模型 建模 稳定学习 污水处理过程
Abstract针对运行工况频繁波动、单一模型难以描述过程特性的问题,提出了带有工况中心修正的多模型在线建模方案,包括工况识别机制、局部模型、多模型合成机制.工况识别机制根据工况特征变量分析工况范围,由相近度修正工况中心;局部模型采用Hammerstein模型,非线性增益由带有稳定学习算法的小波神经网络建立,线性模型由带控制量的自回归模型(ARX)建立;多模型合成机制采用加权求和方法.在线修正工况中心可反映工况的时间变化特性,参数稳定学习算法改善了模型精度和自适应能力.采用此方法建立污水处理过程化学需氧量(COD)软测量模型,结果表明,模型在工况大范围变化时仍具有满意预测效果.
Other AbstractBecause a single model cannot represent the characteristics of the complex industrial process in varying operating ranges, we propose an online modeling scheme for multiple models 0 This scheme inc1udes the recognition mechanism of operating range, the local models and the combination mechanism for multiple models. The recognition mechanism analyzes the operating range according to its characteristic variables and adjusts the center of operating range according to similarity degrees. The loca1 model is actua11y a Hammerstein model which is the seria1 connection of a wavelet neural network with a stable learning algorithm and an ARX model. The combination mechanism ca1culates the weighted sum of the outputs of local models, and online adjusts the centers of operating range to reflect the variation characteristics of the operating range. A stable learning algorithm of parameters improves the prediction accuracy and the adaptation ability. This method is implemented in a wastewater treatment process to measure the concentration of the chemical oxygen demand (COD). Experimental results show that 由is modeling scheme can obtain satisfactory effect in varying operating ranges.
Language中文
Citation statistics
Cited Times:4[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/12487
Collection信息服务与智能控制技术研究室
Affiliation1.中国科学院沈阳自动化研究所信息服务与智能控制技术研究室
2.辽宁石油化工大学信息与控制工程学院
3.东北大学自动化研究中心
4.东北大学流程工业综合自动化国家重点实验室
5.沈阳中科博微自动化有限公司
Recommended Citation
GB/T 7714
丛秋梅,苑明哲,柴天佑,等. 带有工况中心修正的多模型在线建模[J]. 控制理论与应用,2013,30(6):773-780.
APA 丛秋梅,苑明哲,柴天佑,&王宏.(2013).带有工况中心修正的多模型在线建模.控制理论与应用,30(6),773-780.
MLA 丛秋梅,et al."带有工况中心修正的多模型在线建模".控制理论与应用 30.6(2013):773-780.
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