Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228633
M. Fikar, K. Kostúr
The purpose of this paper is to review basic concepts of optimal process control. We define the formulation and basic elements of optimal process control which are models of physical processes, constraints, objective function, functional, history of optimization, and practical approaches to optimal control implementation. The classification comprises basic theory, methods, and techniques. The theory will be complemented by concrete examples from practice. Finally, the structures for optimal process control (feed forward and feedback optimal control) will be given in the paper.
{"title":"Optimal process control","authors":"M. Fikar, K. Kostúr","doi":"10.1109/CARPATHIANCC.2012.6228633","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228633","url":null,"abstract":"The purpose of this paper is to review basic concepts of optimal process control. We define the formulation and basic elements of optimal process control which are models of physical processes, constraints, objective function, functional, history of optimization, and practical approaches to optimal control implementation. The classification comprises basic theory, methods, and techniques. The theory will be complemented by concrete examples from practice. Finally, the structures for optimal process control (feed forward and feedback optimal control) will be given in the paper.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122406448","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228698
A. Nawrat, J. Skorek, K. Jedrasiak, K. Daniec, W. Kostowski, R. Koteras, A. Czornik, B. Mendecka, D. Jarczyk, D. Kasprzak
The paper explores possibilities of applying the IR thermography for integrity evaluation and quick detection of failures in natural gas delivery stations. The natural gas stations typically comprise overground facilities for filtering, pressure reduction, flow metering and odorizing. The facilities and the interconnecting pipelines are subject to risk of damages due to material failures or external factors. The failure detection algorithm presented in the paper is based on two physical phenomena concerning the temperature of piping. The first one is bound to the process of natural gas expansion to the atmosphere leading to a rapid decrease of the gas temperature, usually below the ambient temperature. Therefore, the flux of gas absorbs heat from the pipe walls implying a local drop of the surface temperature. The second phenomenon is related to the change of the flow pattern in the station, since leakages typically induce high discharge flow rates. The new flow pattern affects the thermal effect exerted by the gas flux on the pipe walls, hence significant variations from previous values as well as from the ambient conditions may be registered in short-time intervals. The algorithm implements integrity test procedures based on both thermal mechanisms, as well as initializing procedures for image normalization and identification of relevant pipeline sections.
{"title":"Application of IR thermography for evaluating the integrity of a natural gas delivery station","authors":"A. Nawrat, J. Skorek, K. Jedrasiak, K. Daniec, W. Kostowski, R. Koteras, A. Czornik, B. Mendecka, D. Jarczyk, D. Kasprzak","doi":"10.1109/CARPATHIANCC.2012.6228698","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228698","url":null,"abstract":"The paper explores possibilities of applying the IR thermography for integrity evaluation and quick detection of failures in natural gas delivery stations. The natural gas stations typically comprise overground facilities for filtering, pressure reduction, flow metering and odorizing. The facilities and the interconnecting pipelines are subject to risk of damages due to material failures or external factors. The failure detection algorithm presented in the paper is based on two physical phenomena concerning the temperature of piping. The first one is bound to the process of natural gas expansion to the atmosphere leading to a rapid decrease of the gas temperature, usually below the ambient temperature. Therefore, the flux of gas absorbs heat from the pipe walls implying a local drop of the surface temperature. The second phenomenon is related to the change of the flow pattern in the station, since leakages typically induce high discharge flow rates. The new flow pattern affects the thermal effect exerted by the gas flux on the pipe walls, hence significant variations from previous values as well as from the ambient conditions may be registered in short-time intervals. The algorithm implements integrity test procedures based on both thermal mechanisms, as well as initializing procedures for image normalization and identification of relevant pipeline sections.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122934377","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228735
G. Szapajko, H. Rusinowski, A. Milejski
The diagnostics of operation for the energy conversion systems is realized as a result of collecting, processing, evaluating and analyzing the measurement signals. Thus, determination of the process state, understood as the evaluation of the hereof process deviations from the reference standard process is possible. Researches focused on the identification of the process operation states changes have been developed in the diagnostics of the energy processes. The existing thermal diagnosis systems, which goal was energy evaluation of the operation, are enriched with the modules, which enable to localize the causes of excessive energy consumption. It requires application of the simulation models of the thermal processes. Additionally, simple models with short calculation time are necessary for the thermal diagnostics systems needs. Such models can be obtained with the utilization of the empirical modelling methods. Good results brings construction of the analytical model with the auxiliary empirical functions built-in. The paper presents mathematical model of the steam-water cycle for cogeneration heat and power (CHP) unit with bleed-condensing turbine containing mass and energy balances and auxiliary empirical equations describing the steam expansion line and the heat transfer processes in the heat exchangers. Worked out simulation model contains partial models of the turbine, the heat exchangers and condenser. Exemplary calculation results are presented.
{"title":"Mathematical model of the steam-water cycle for CHP unit with bleed-condensing turbine","authors":"G. Szapajko, H. Rusinowski, A. Milejski","doi":"10.1109/CARPATHIANCC.2012.6228735","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228735","url":null,"abstract":"The diagnostics of operation for the energy conversion systems is realized as a result of collecting, processing, evaluating and analyzing the measurement signals. Thus, determination of the process state, understood as the evaluation of the hereof process deviations from the reference standard process is possible. Researches focused on the identification of the process operation states changes have been developed in the diagnostics of the energy processes. The existing thermal diagnosis systems, which goal was energy evaluation of the operation, are enriched with the modules, which enable to localize the causes of excessive energy consumption. It requires application of the simulation models of the thermal processes. Additionally, simple models with short calculation time are necessary for the thermal diagnostics systems needs. Such models can be obtained with the utilization of the empirical modelling methods. Good results brings construction of the analytical model with the auxiliary empirical functions built-in. The paper presents mathematical model of the steam-water cycle for cogeneration heat and power (CHP) unit with bleed-condensing turbine containing mass and energy balances and auxiliary empirical equations describing the steam expansion line and the heat transfer processes in the heat exchangers. Worked out simulation model contains partial models of the turbine, the heat exchangers and condenser. Exemplary calculation results are presented.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124023686","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228719
B. Sapiński, L. Jastrzebski, M. Rosół
The paper covers: structure, technical specification and testing the developed amplifier by applying the following MR fluid-based actuators: MR damper, MR brake and MR beam.
{"title":"Power amplifier supporting MR fluid-based actuators","authors":"B. Sapiński, L. Jastrzebski, M. Rosół","doi":"10.1109/CARPATHIANCC.2012.6228719","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228719","url":null,"abstract":"The paper covers: structure, technical specification and testing the developed amplifier by applying the following MR fluid-based actuators: MR damper, MR brake and MR beam.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124157325","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228667
I. Koštial, D. Nascak, J. Spisak, J. Mikula
Mathematical models serve as a basic tool for information gaining about technological objects and processes. Suitable mathematical model, which can be effectively used as a integral part of the process control system, requires not only adequacy to the modeled objects but also adequacy of the computing time to the real time, because one of the main criteria of the optimal model is its time saving. Traditional parametric approach is inadequate to analyze large-scale systems because of its computational inefficiency. Acceleration can be achieved by the selection of a suitable platform of the mathematical model, which by reason of time saving must have elements of the simplification.
{"title":"Mathematical model of granular material thermal treatment for real time application","authors":"I. Koštial, D. Nascak, J. Spisak, J. Mikula","doi":"10.1109/CARPATHIANCC.2012.6228667","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228667","url":null,"abstract":"Mathematical models serve as a basic tool for information gaining about technological objects and processes. Suitable mathematical model, which can be effectively used as a integral part of the process control system, requires not only adequacy to the modeled objects but also adequacy of the computing time to the real time, because one of the main criteria of the optimal model is its time saving. Traditional parametric approach is inadequate to analyze large-scale systems because of its computational inefficiency. Acceleration can be achieved by the selection of a suitable platform of the mathematical model, which by reason of time saving must have elements of the simplification.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127872552","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228608
M. Bakosová, J. Oravec
The paper is devoted to dynamic state feedback robust stabilization of uncertain polytopic systems. The dynamic state feedback is obtained using the MPC strategy, where input and state constraints are taken into account. The dynamic feedback controllers are designed as P or PI controllers. The possibility to stabilize uncertain polytopic systems using designed dynamic feedback controllers is verified by simulations.
{"title":"MPC based robust stabilization of uncertain plants","authors":"M. Bakosová, J. Oravec","doi":"10.1109/CARPATHIANCC.2012.6228608","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228608","url":null,"abstract":"The paper is devoted to dynamic state feedback robust stabilization of uncertain polytopic systems. The dynamic state feedback is obtained using the MPC strategy, where input and state constraints are taken into account. The dynamic feedback controllers are designed as P or PI controllers. The possibility to stabilize uncertain polytopic systems using designed dynamic feedback controllers is verified by simulations.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121422815","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228643
P. Horovčák, J. Terpák, B. Stehlíková
The contribution is devoted to graphic web presentation of selected thermochemical properties, e.g. molar heat capacity courses, using service oriented architecture (SOA) and web service for thermodynamic calculation support. In the introduction paper specifies graphic support (GD library). Solution of application is based on taking advantage of graphic support JpGraph and mentioned web service. There were created two specialized functions for parameters check, control of calculation using web service, filing their results into arrays and their depiction in graphic form. Application interface consists of parameters for identification of web service, substance, temperature's scope and step, graph size and x-axis ticketing density as well as if appropriate of file name in which calculated graph course will be in jpg format. There are presented examples of molar heat capacity courses for selected substances.
{"title":"Selected thermochemical properties of substances and their graphic web presentation","authors":"P. Horovčák, J. Terpák, B. Stehlíková","doi":"10.1109/CARPATHIANCC.2012.6228643","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228643","url":null,"abstract":"The contribution is devoted to graphic web presentation of selected thermochemical properties, e.g. molar heat capacity courses, using service oriented architecture (SOA) and web service for thermodynamic calculation support. In the introduction paper specifies graphic support (GD library). Solution of application is based on taking advantage of graphic support JpGraph and mentioned web service. There were created two specialized functions for parameters check, control of calculation using web service, filing their results into arrays and their depiction in graphic form. Application interface consists of parameters for identification of web service, substance, temperature's scope and step, graph size and x-axis ticketing density as well as if appropriate of file name in which calculated graph course will be in jpg format. There are presented examples of molar heat capacity courses for selected substances.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128577506","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228708
David Plandor, L. Landryová
This article aims to design and develop an application for generating KPIs (key performance indicators) for a company using genetic algorithms. Business self-assessment results and their fitness evaluation are used.
{"title":"Generating KPI sets using genetic algorithms","authors":"David Plandor, L. Landryová","doi":"10.1109/CARPATHIANCC.2012.6228708","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228708","url":null,"abstract":"This article aims to design and develop an application for generating KPIs (key performance indicators) for a company using genetic algorithms. Business self-assessment results and their fitness evaluation are used.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116045758","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228628
P. Drąg, D. Zelazny
In the paper we present a new method for solving optimal control problems of a class of hybrid systems. We describe the new effective algorithm based on memetic algorithm (MA) for optimal control of switched systems. We concentrate on a class of problems in which a pre-specified sequence of active subsystems is known. Our aim is to find both the optimal switching instants and the optimal continuous inputs. The new approach, which we propose, decomposes the cost functional of the basic optimal control problem in Bolza form in two terms. The first term depends explicitly on a value of state variables at the final time. The second term depends on state and control trajectories. In order to solve those two tasks we used MA as the multi-objective optimization algorithm. In this paper we considered a fundamental bi-criteria case with two mentioned before functions: the value of state variables at the final time and the state and control trajectories. In order to find an approximation of Pareto frontier, we proposed new effective method based on genetic algorithm (GA) and local search (LS). Problems properties were taken into consideration in the design of our new approach of solving it. They were used to construct new algorithm inspired by the LS NSGA-II, which performed rather well in multi-criteria scheduling problem. Since simple genetic algorithms are efficient heuristics in searching for optimal solutions, but lack the accuracy of some more computational complex algorithms, a hybrid algorithm was constructed. It uses fast non-dominated sorting, in order to evaluate child population and allocate solutions to corresponding Pareto frontiers. I addition a local search method was used, in order to find more differentiated and better solutions. Clustering solutions from Pareto frontiers also improved diversity of solutions in child population. This approach can be used as a start point for searching for algorithm for solving optimal control problems of switched systems without pre-specified sequence of active subsystems. The performance of the algorithm is illustrated by the examples: (a) a hybrid optimal control problem with nonlinear dynamics and (b) a switched linear quadratic optimal control problem with long switching time intervals.
{"title":"Multi-criteria optimization in control of switched systems","authors":"P. Drąg, D. Zelazny","doi":"10.1109/CARPATHIANCC.2012.6228628","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228628","url":null,"abstract":"In the paper we present a new method for solving optimal control problems of a class of hybrid systems. We describe the new effective algorithm based on memetic algorithm (MA) for optimal control of switched systems. We concentrate on a class of problems in which a pre-specified sequence of active subsystems is known. Our aim is to find both the optimal switching instants and the optimal continuous inputs. The new approach, which we propose, decomposes the cost functional of the basic optimal control problem in Bolza form in two terms. The first term depends explicitly on a value of state variables at the final time. The second term depends on state and control trajectories. In order to solve those two tasks we used MA as the multi-objective optimization algorithm. In this paper we considered a fundamental bi-criteria case with two mentioned before functions: the value of state variables at the final time and the state and control trajectories. In order to find an approximation of Pareto frontier, we proposed new effective method based on genetic algorithm (GA) and local search (LS). Problems properties were taken into consideration in the design of our new approach of solving it. They were used to construct new algorithm inspired by the LS NSGA-II, which performed rather well in multi-criteria scheduling problem. Since simple genetic algorithms are efficient heuristics in searching for optimal solutions, but lack the accuracy of some more computational complex algorithms, a hybrid algorithm was constructed. It uses fast non-dominated sorting, in order to evaluate child population and allocate solutions to corresponding Pareto frontiers. I addition a local search method was used, in order to find more differentiated and better solutions. Clustering solutions from Pareto frontiers also improved diversity of solutions in child population. This approach can be used as a start point for searching for algorithm for solving optimal control problems of switched systems without pre-specified sequence of active subsystems. The performance of the algorithm is illustrated by the examples: (a) a hybrid optimal control problem with nonlinear dynamics and (b) a switched linear quadratic optimal control problem with long switching time intervals.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116409329","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}
Pub Date : 2012-05-28DOI: 10.1109/CARPATHIANCC.2012.6228661
C. Korbel, H. Zygmunt
Emission reduction, this expression is one of the most frequently used in the last years. Its meaning is known very well for the ordinary people, ordinary in the sense of being not associated with the automotive industry. One of the strategies for NOx emissions reduction in personal vehicles with combustion engine is the Selective Catalytic Reduction System. The critical issue of such systems can be too high urea temperature at the injector outlet. Engine compartment around the injector influences very much the injector temperature. This temperature can be estimated with a model based on interpolation maps and correlation factors. Parameters of the model can be evaluated using genetic algorithms. Main issue of this work was researching for best identification method of the parameters of the engine compartment. First, easy genetic algorithms has been designed and coupled to the temperature model, than two experiment have been defined to check various method, where changing of settings of genetic algorithms and then several runs have been performed. To evaluate which setting are most suitable, spread of the found parameters have been compared. In first two experiment absolute values of the parameters have not been exposed, third experiment has been introduced to validate short the chosen method. Output of this experiment are time course of the temperature throughout the whole simulation duration, population fitness and found parameters. The identification was running parallel to the process, e.g. during the system calibration phase in a car. Matlab Simulink environment was applied for design of the function. As a development platform for running of the algorithm and doing measurement a dedicated Rapid Prototyping System based on Micro Auto Box from dSpace was applied.
减排，这个表达是近年来使用最频繁的一个。它的意思对于普通人来说是非常熟悉的，普通的意思是与汽车工业无关。选择性催化还原系统是减少内燃机车辆氮氧化物排放的策略之一。这种系统的关键问题可能是喷射器出口的尿素温度过高。喷油器周围的发动机舱对喷油器温度影响很大。这个温度可以用一个基于插值图和相关因子的模型来估计。利用遗传算法对模型参数进行求解。本工作的主要问题是对发动机舱参数的最佳辨识方法进行研究。首先，设计了简单的遗传算法，并将其与温度模型耦合，然后定义了两个实验来检验各种方法，其中改变了遗传算法的设置，然后进行了多次运行。为了评估哪一种设置是最合适的，我们比较了所发现参数的分布。在前两次实验中没有给出参数的绝对值，第三次实验对所选方法进行了验证。该实验的输出是整个模拟过程中温度的时间过程、种群适应度和发现的参数。识别与过程并行运行，例如在汽车的系统校准阶段。采用Matlab Simulink环境进行功能设计。采用基于dSpace的Micro Auto Box专用快速成型系统作为算法运行和测量的开发平台。
{"title":"Online determination of temperature model parameters of a Selective Catalytic Reduction System","authors":"C. Korbel, H. Zygmunt","doi":"10.1109/CARPATHIANCC.2012.6228661","DOIUrl":"https://doi.org/10.1109/CARPATHIANCC.2012.6228661","url":null,"abstract":"Emission reduction, this expression is one of the most frequently used in the last years. Its meaning is known very well for the ordinary people, ordinary in the sense of being not associated with the automotive industry. One of the strategies for NOx emissions reduction in personal vehicles with combustion engine is the Selective Catalytic Reduction System. The critical issue of such systems can be too high urea temperature at the injector outlet. Engine compartment around the injector influences very much the injector temperature. This temperature can be estimated with a model based on interpolation maps and correlation factors. Parameters of the model can be evaluated using genetic algorithms. Main issue of this work was researching for best identification method of the parameters of the engine compartment. First, easy genetic algorithms has been designed and coupled to the temperature model, than two experiment have been defined to check various method, where changing of settings of genetic algorithms and then several runs have been performed. To evaluate which setting are most suitable, spread of the found parameters have been compared. In first two experiment absolute values of the parameters have not been exposed, third experiment has been introduced to validate short the chosen method. Output of this experiment are time course of the temperature throughout the whole simulation duration, population fitness and found parameters. The identification was running parallel to the process, e.g. during the system calibration phase in a car. Matlab Simulink environment was applied for design of the function. As a development platform for running of the algorithm and doing measurement a dedicated Rapid Prototyping System based on Micro Auto Box from dSpace was applied.","PeriodicalId":334936,"journal":{"name":"Proceedings of the 13th International Carpathian Control Conference (ICCC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127432476","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}
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