{"title":"A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations","authors":"Shih-Ting Fong, Chun-Jung Wang, Chuei-Tin Chang","doi":"10.1109/ADCONIP.2017.7983821","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983821","url":null,"abstract":"Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125165793","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}
Naoki Kimura, Yuya Takeda, Taichi Hasegawa, Y. Tsuge
{"title":"Agent based fault detection using negative selection algorithm for chemical processes","authors":"Naoki Kimura, Yuya Takeda, Taichi Hasegawa, Y. Tsuge","doi":"10.1109/ADCONIP.2017.7983822","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983822","url":null,"abstract":"In this study, a fault detection system for a chemical processes using agent and negative selection algorithm was proposed. The operational data using dynamic plant simulator were obtained to verify the effectiveness of our method. The simulations of fault detection were carried out. And also the results of simulation are presented in this paper.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762275","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}
Tianyu Wang, Linqing Wang, Jun Zhao, Wei Wang, Y. Liu
{"title":"Evolutionary adaptive dynamic programming algorithm for converter gas scheduling of steel industry","authors":"Tianyu Wang, Linqing Wang, Jun Zhao, Wei Wang, Y. Liu","doi":"10.1109/ADCONIP.2017.7983769","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983769","url":null,"abstract":"It is significant to perform an effective scheduling of byproduct gas system in steel industry for reducing cost and protecting environment. The existing studies largely focused on extracting specific knowledge from human experience or directly optimizing the scheduling performance, which failed to provide a dynamic optimization process for making the scheduling scheme updated online. In this study, an action-dependent heuristic dynamic programming (ADHDP) framework is proposed for the Linz-Donawitz converter gas (LDG) scheduling, in which the scheduling amount is calculated based on the gas system states by utilizing a Tagaki-Sugeno-Kang (TSK) fuzzy model, while a utility function is introduced in the critic network considering the time delay of the gas system to evaluate the scheduling performance over time. For achieving online learning process, the concept of a modified evolutionary algorithm is combined with the ADHDP to obtain the near-optimal scheduling policy at each time instance. To demonstrate the performance of the proposed method, the practical data coming from the energy center of a steel plant are employed. The results show that the proposed method can supply the human operators with effective solution for secure and economically justified optimization of the LDG system.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130042179","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}
{"title":"Model predictive control and optimization of vacuum pressure swing adsorption for carbon dioxide capture","authors":"W. Du, Khalil Alkebsi","doi":"10.1109/ADCONIP.2017.7983816","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983816","url":null,"abstract":"This study presents a control strategy of carbon dioxide capture from flue gas by Vacuum Pressure Swing Adsorption (VPSA). The key objective of this work is to control and optimize the purity and recovery of the adsorption product (carbon dioxide) by manipulating the time duration of the VPSA cycle steps. Based on a single fixed-bed 6-step VPSA process simulation using 5A zeolite as adsorbent for CO2 capture from gas mixture with 15% CO2 and 85% N2 (resembling post-combustion flue gases of power stations), a two-input/two-output control model was obtained, in which Feed step time and Purge step time are taken as manipulative variables and CO2 Purity and Recovery are the controlled variables. For control purpose, a multi-input/multi-output model predictive control (MIMO-MPC) system is proposed to handle the inherent non-linear nature and discontinuous operation of the VPSA process. The MIMO-MPC control scheme is tested and showed good results in terms of system stability and fast tracking of the set-points. Finally, PSO algorithm is applied to maximize the purity and recovery by finding the optimal duration time of feed step and purge step, the results shows that with such VPSA process, over 98% of CO2 is recovered with purity of 59%, at tfeed = 202s and tpurge= 114s.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122555833","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}
{"title":"Simultaneous planning of production and utility systems under performance degradation","authors":"N. I. Zulkafli, G. Kopanos","doi":"10.1109/ADCONIP.2017.7983765","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983765","url":null,"abstract":"A general optimization framework for the simultaneous planning of production and utility systems under performance degradation is presented. The comparison of the solutions of this integrated approach against the traditional sequential approach has been made. The proposed integrated approach can achieve significant reduction in startup/shutdown cost, cleaning costs and total utility purchases.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"143 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129470240","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}
{"title":"Design and control of a plant-wide process for the production of epichlorohydrin","authors":"Chien-Chih Huang, San-Jang Wang, D. Wong","doi":"10.1109/ADCONIP.2017.7983811","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983811","url":null,"abstract":"Epichlorohydrin (ECH) is a primary raw material in the production of some polymers. However, traditional ECH production methods suffer from several disadvantages. Hydrogen peroxide is relatively non-toxic and widely accepted as an environmentally friendly and green oxidant. In the study, we propose the plant-wide process design and control for ECH synthesis by the epoxidation of allyl chloride with hydrogen peroxides over the catalyst of TS-1 in the presence of methanol. In the plant-wide process, the product from a plug flow reactor is separated by a distillation column. Nitrogen gas is fed into the column top for safety concerns. The column bottom product containing mostly ECH and water is decanted into two liquid phases. High purity ECH and water are obtained from the bottoms of two strippers which the liquids of organic and aqueous phases in the decanter are respectively fed into. The control strategy is constructed by steady-state analysis for the plant-wide process and its performance is evaluated by dynamic simulation. Simulation results reveal that the process can be safely operated and product purities can be maintained around the desired values by temperature control in spite of disturbances.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124538450","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}
G. Astolfi, L. Barboni, Francesco Cocchioni, C. Pepe, S. Zanoli
{"title":"Optimization of a pusher type reheating furnace: An adaptive Model Predictive Control approach","authors":"G. Astolfi, L. Barboni, Francesco Cocchioni, C. Pepe, S. Zanoli","doi":"10.1109/ADCONIP.2017.7983749","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983749","url":null,"abstract":"In this paper, an Advanced Process Control system based on a two-layer linear Model Predictive Control strategy is proposed. The control system aims at optimizing a pusher type billets reheating furnace, located in an Italian steel plant. A first principles nonlinear model has been developed, in order to obtain estimations of billets temperature inside the furnace. A Linear Parameter-Varying model for billets temperature has been accordingly derived. To obtain a global modellization of the furnace unit, an additional black-box approach has been adopted for the internal process dynamics. The overall resulting model has been exploited for the design of the Model Predictive Control scheme. Performances on an industrial process have shown the major profitability of the proposed control solution with respect to the previous one, based on a suitable handling of local PID controllers. In particular, significant energy saving has been obtained, together with an improved specifications fulfillment.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132337457","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}
{"title":"Pinch analysis approach to optimal planning of biochar-based carbon management networks","authors":"R. Tan, S. Bandyopadhyay, D. Foo","doi":"10.1109/ADCONIP.2017.7983757","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983757","url":null,"abstract":"Biochar offers a potentially scalable option for achieving negative carbon emissions. The photosynthetic fixation of atmospheric carbon into biomass, followed by carbonization of plant biomass into stable biochar which is then added to soil, results in a reversal of the normal flow of carbon from man-made systems. In addition, these systems can provide economic benefits, such as enhancement of soil quality for agriculture, or co-production of valuable goods (e.g., energy and chemicals) along with biochar. However, the amount of biochar that can be added to agricultural land without causing adverse effects is limited by impurities such as salts, heavy metals and dioxins, which can cause a decline in soil quality. Thus, allocation of biochar from different sources (i.e., pyrolysis plants) to different sinks (i.e., farms or plantations) can be framed as a source-sink optimizations problem. In process integration literature, such problems have been solved via mathematical programming, pinch analysis or allied techniques such as process graphs. In this work, a pinch analysis approach for planning biochar-based carbon management networks is proposed. This methodology provides an alternative or complementary approach that facilitates decision-making and interpretation through visually oriented graphical displays. A case study is solved to illustrate how system-wide carbon sequestration can be maximized, while still satisfying soil impurity limits.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115064999","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}
{"title":"Double-layered model predictive control strategy with dynamic trajectory calculation","authors":"Xiao Wang, Shaoyuan Li, Yi Zheng, Yaru Yang","doi":"10.1109/ADCONIP.2017.7983748","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983748","url":null,"abstract":"In industrial process field, the integrations of model predictive control (MPC) and hierarchical control system are widely used. A new double-layered model predictive control strategy with dynamic trajectory calculation (DTC) in its upper layer is presented in this paper, which can be applied in the midst of a hierarchical control system. DTC includes a feasibility stage with prioritized constraints handling and an economic optimization stage in a compatible constraint set. The calculated trajectory for each output is tracked by MPC dynamically in the lower layer. The presented control algorithm with DTC inspired by the steady-state target calculation (SSTC) method from the existing research basis. It could achieve a better economic benefit and tracking effect of external targets (ET) obtained from real-time optimization (RTO). In the simulation example, the introduced and original algorithms are applied to a fluid catalytic cracking (FCC) model which is the core of refining industry. Control results and performance comparison between two methods illustrates effectiveness of the proposed control strategy.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115956029","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}
A. Savchenko, Petar Andonov, Philipp Rumschinski, R. Findeisen
{"title":"Multi-objective complexity reduction for set-based fault diagnosis","authors":"A. Savchenko, Petar Andonov, Philipp Rumschinski, R. Findeisen","doi":"10.1109/ADCONIP.2017.7983846","DOIUrl":"https://doi.org/10.1109/ADCONIP.2017.7983846","url":null,"abstract":"Fault diagnosis methods ensure safe operation of industrial plants. Steadily increasing appearance of larger and interconnected systems and the necessity to take process uncertainties into account drives the need for reliable diagnosis procedures. Set-based frameworks for model-based fault diagnosis allow to handle these challenges, albeit at a high cost of computations. We propose a method to reduce the complexity of polynomial discrete-time models that retain the guarantee of fault detection. The relaxation-based method substitutes uncertain parts of model dynamics which are not relevant to diagnosing the fault. The method is illustrated with a fault detection example for an automatic air conditioning system of a building.","PeriodicalId":170851,"journal":{"name":"2017 6th International Symposium on Advanced Control of Industrial Processes (AdCONIP)","volume":"7 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":"129755461","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}