2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)最新文献_第2页

Advances in big data analytics at The Dow Chemical Company 陶氏化学公司在大数据分析方面的进展

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983781

Leo H. Chiang, Bo Lu, Ivan Castillo

引用次数: 0

Convergence property for iterative data-driven PID gain tuning based on generalized minimum variance regulatory control 基于广义最小方差调节控制的迭代数据驱动PID增益整定的收敛性

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983833

Ryoko Yokoyama, S. Masuda

{"title":"Convergence property for iterative data-driven PID gain tuning based on generalized minimum variance regulatory control","authors":"Ryoko Yokoyama, S. Masuda","doi":"10.1109/ADCONIP.2017.7983833","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983833","url":null,"abstract":"The paper gives analytical results on convergence property for the iterative data-driven PID gain tuning based on generalized minimum variance (GMV) regulatory control. The method can achieve improved PID gains based on generalized minimum variance evaluation without using a process model. Originally, the method has been developed for non-iterative control parameter tuning method, such as Virtual Reference Feedback Tuning (VRFT), Fictitious Reference Iterative Tuning (FRIT) and Non-iterative Correlation Based Tuning (NCbT). In contrast, our previous work numerically confirmed that the data-driven PID gain tuning successively improves the control performance by applying the method iteratively, and finally converges to the fixed PID gain parameters. The present work theoretically examines the convergence property. To this end, the iterative data-driven PID gain tuning is reformulated from the cost criterion expressed by Ή2 norm where the number of the collected data grows to infinity. The theoretical analysis shows that the iterative PID gain tuning makes the PID gains converge to certain fixed values under some condition. Finally, a numerical simulation result is shown to support the theoretical analysis.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133630311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

A novel algorithm for targeted metabolite profiling using NMR spectrum 一种利用核磁共振谱分析目标代谢物的新算法

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983845

F. Xu, Madhav Mantri, Zukui Li

引用次数: 0

A novel single-input two-output (SITO) strategy for split range control 一种新的单输入双输出(SITO)分程控制策略

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983805

Sultan T. Fatani, R. Patwardhan, M. A. Andreu

引用次数: 3

Transient response analysis of high pressure steam distribution networks in a refinery 某炼油厂高压配汽管网暂态响应分析

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983817

Chiao-ying Chang, Shih-Han Wang, Yu-Cheng Huang, Cheng-Liang Chen

引用次数: 2

Adaptive output feedback control with predictive feedforward input based on extended output estimator 基于扩展输出估计器的预测前馈自适应输出反馈控制

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983774

Seiya Fujii, I. Mizumoto

引用次数: 2

Handling class imbalance and multiple inspection objectives in design of industrial inspection system 处理工业检测系统设计中的类不平衡和多检测目标

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983849

A. Jazi, J. J. Liu

引用次数: 1

Use of confidence region in the optimal design of a separation process in the presence of uncertainties 在存在不确定性的分离过程的优化设计中使用置信区域

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983820

Shueh-Hen Cheng, Chi-Hao Lo, Ta-chen Lin

{"title":"Use of confidence region in the optimal design of a separation process in the presence of uncertainties","authors":"Shueh-Hen Cheng, Chi-Hao Lo, Ta-chen Lin","doi":"10.1109/ADCONIP.2017.7983820","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983820","url":null,"abstract":"A large number of real-world problems nowadays require that decisions be made in the presence of uncertainties. Traditionally, the task of separation systems design neglects the influence of uncertainties. This work, however, explores the optimization strategy of a frequently encountered equilibrium-based distillation system design problem in the face of uncertainties. In particular, uncertainties arising from thermodynamic model parameters, which represent the vapor-liquid equilibrium (VLE) behavior of non-ideal mixtures involved in the system and are germane to the rational design of the separation system, are considered in the work. Joint confidence regions for the key thermodynamic model parameters estimated by the nonlinear least squares method have been incorporated in the analysis of the uncertain regions. We propose a novel two-stage stochastic programming solution scheme utilizing the optimum searching capacity of the simulated annealing algorithm in the first (design) stage and ASPEN Plus flowsheet simulator in the second (operating) stage in which Hammersley sequence sampling scheme has been implemented. A case study that investigates the optimal design of a two-column distillation system in an isopropanol (IPA) process will be demonstrated. Overall, this study provides us with a useful means to scrutinize the uncertainties and to optimize our design by quantifying the impact associated with them.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A novel run-to-run optimization algorithm for batch processes using localized partial least squares regression models 基于局部偏最小二乘回归模型的批处理运行优化算法

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983764

Dong Hwi Jeong, Chang Jun Lee, J. M. Lee

{"title":"A novel run-to-run optimization algorithm for batch processes using localized partial least squares regression models","authors":"Dong Hwi Jeong, Chang Jun Lee, J. M. Lee","doi":"10.1109/ADCONIP.2017.7983764","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983764","url":null,"abstract":"Driving a process to optimal conditions under various uncertainties is a key issue for meeting objectives of productivity and quality of batch or fed-batch product. To overcome a limitation of two-step approaches unable to cope with nonparametric or large uncertainty, several gradient based iterative optimization methods have been proposed. Among these, latent variable model based approaches have a strong point that it can estimate plant gradient with less number of excitation than common model free ones when the variables are correlated. In this paper, a novel run-to-run optimization approach using partial least squares regression is proposed. Being different from the last latent variable model based ones, the proposed method excites and utilizes only interpolating data set for gradient estimation by introducing trust region. And consideration of input constraints are also added in the iterative updates for optimization. Finally, a case study in which a fed-batch bio-reactor's feeding rates are optimized validates the proposed method's utility.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126173742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of a performance-driven PID controller for a nonlinear system 非线性系统性能驱动PID控制器的设计

2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP) Pub Date : 2017-05-01 DOI: 10.1109/ADCONIP.2017.7983836

Yuntao Liao, T. Kinoshita, K. Koiwai, Toru Yamamoto

引用次数: 2