This paper deals with design and development of a device used for measurement of colour changes of granulate polymer material which is produced by recycling technology. Individual parts of design from the point of hardware and software are described. Description of user application in MATLAB programming environment is introduced. Relative measurement of reference sample set is also presented.
{"title":"Device design based on automatic colour measurement used for polymer waste recycling","authors":"M. Navrátil, V. Kresálek","doi":"10.1109/PC.2015.7169946","DOIUrl":"https://doi.org/10.1109/PC.2015.7169946","url":null,"abstract":"This paper deals with design and development of a device used for measurement of colour changes of granulate polymer material which is produced by recycling technology. Individual parts of design from the point of hardware and software are described. Description of user application in MATLAB programming environment is introduced. Relative measurement of reference sample set is also presented.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124335421","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}
In this paper we present a hierarchical control structure for dynamic management of electrical power networks with distributed generation and storage. The proposed control structure consists of three layers. At the upper level a (dynamic) Optimal Power Flow (OPF) solver computes the optimal power references for distributed generators and storages at slow rate. These references are then transmitted to the intermediate level, where a faster Model Predictive Control (MPC) algorithm computes deviations from power references given by the OPF solver to take into account the variability of load profiles that was neglected at the upper layer. Finally, the power references are forwarded to the primary level where local controllers track the power reference values computed by the upper layers. The MPC algorithm is based on a state-space model of the power network linearized around the operating point given by the OPF solver. A case study of a simple radial power network is used for testing purposes and to illustrate the applicability and usefulness of the proposed control strategy.
{"title":"Dynamic management of electrical power networks with distributed generation and storage","authors":"B. Novoselnik, M. Baotic","doi":"10.1109/PC.2015.7169941","DOIUrl":"https://doi.org/10.1109/PC.2015.7169941","url":null,"abstract":"In this paper we present a hierarchical control structure for dynamic management of electrical power networks with distributed generation and storage. The proposed control structure consists of three layers. At the upper level a (dynamic) Optimal Power Flow (OPF) solver computes the optimal power references for distributed generators and storages at slow rate. These references are then transmitted to the intermediate level, where a faster Model Predictive Control (MPC) algorithm computes deviations from power references given by the OPF solver to take into account the variability of load profiles that was neglected at the upper layer. Finally, the power references are forwarded to the primary level where local controllers track the power reference values computed by the upper layers. The MPC algorithm is based on a state-space model of the power network linearized around the operating point given by the OPF solver. A case study of a simple radial power network is used for testing purposes and to illustrate the applicability and usefulness of the proposed control strategy.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124641367","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}
This paper describes the construction of a laboratory model of a bicopter, fully capable of a flight, and shortly discusses all related control problems. Namely, the problem of its stabilization during the flight, the design of the respective control loops and controllers, including signal measurement and processing, are presented in this work.
{"title":"Bicopter stabilization based on IMU sensors","authors":"Lukas Hrecko, J. Slacka, M. Halás","doi":"10.1109/PC.2015.7169961","DOIUrl":"https://doi.org/10.1109/PC.2015.7169961","url":null,"abstract":"This paper describes the construction of a laboratory model of a bicopter, fully capable of a flight, and shortly discusses all related control problems. Namely, the problem of its stabilization during the flight, the design of the respective control loops and controllers, including signal measurement and processing, are presented in this work.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124702555","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}
This article describes a simple control of elementary flight variables for an unmanned airship such like airship flight altitude and airship azimuth or flight direction. For this purpose were all controllers designed on the basis of nonlinear mathematical model of airship flight mechanics which was obtained by PEM (Projection Equivalent Method) [13]. All controllers were designed for “silent” airship flight mode. “Silent” flight mode means, that during flight on-board airship controllers compensate oscillations about all three airship axes. By means of these controllers, it is possible to achieve required controller precision and thereby to guarantee “silent” airship flight mode which is necessary for photo or video recording or other airborne measurement tasks. This paper not only shows simulation results, but also provides measured data from real experimental airship flights which were realized by applying these controllers.
{"title":"Airship aerodynamics - Simple control of the elementary flight parameters","authors":"F. Jelenciak, M. Gerke, U. Borgolte, P. Bahnik","doi":"10.1109/PC.2015.7169993","DOIUrl":"https://doi.org/10.1109/PC.2015.7169993","url":null,"abstract":"This article describes a simple control of elementary flight variables for an unmanned airship such like airship flight altitude and airship azimuth or flight direction. For this purpose were all controllers designed on the basis of nonlinear mathematical model of airship flight mechanics which was obtained by PEM (Projection Equivalent Method) [13]. All controllers were designed for “silent” airship flight mode. “Silent” flight mode means, that during flight on-board airship controllers compensate oscillations about all three airship axes. By means of these controllers, it is possible to achieve required controller precision and thereby to guarantee “silent” airship flight mode which is necessary for photo or video recording or other airborne measurement tasks. This paper not only shows simulation results, but also provides measured data from real experimental airship flights which were realized by applying these controllers.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122250213","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}
This paper deals with the design of a reference governor scheme which can be implemented in real time even on very simple microcontrollers. The governor serves as a supervisory controller, which generates optimized setpoints for the inner PID controller. The task of the inner controller is to control the vertical displacement of a ball in the magnetic levitation system. The reference governor is constructed as a look-up table, which allows for a very fast and simple implementation. Experimental results are provided to illustrate that by employing reference governors, output constraints can be enforced in a systematic manner. The results also confirm real-time implementability of such strategies on Arduino microcontrollers with modest resources.
{"title":"Real-time implementation of a reference governor on the Arduino microcontroller","authors":"M. Kalúz, Martin Klauco, M. Kvasnica","doi":"10.1109/PC.2015.7169988","DOIUrl":"https://doi.org/10.1109/PC.2015.7169988","url":null,"abstract":"This paper deals with the design of a reference governor scheme which can be implemented in real time even on very simple microcontrollers. The governor serves as a supervisory controller, which generates optimized setpoints for the inner PID controller. The task of the inner controller is to control the vertical displacement of a ball in the magnetic levitation system. The reference governor is constructed as a look-up table, which allows for a very fast and simple implementation. Experimental results are provided to illustrate that by employing reference governors, output constraints can be enforced in a systematic manner. The results also confirm real-time implementability of such strategies on Arduino microcontrollers with modest resources.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115000554","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}
Ivan Ottinger, T. Ludwig, E. Miklovičová, V. Batora, J. Murgas, Marian Tarnik
Individualized type 1 diabetes mellitus (T1DM) subject model is presented in this paper. Insulin-glucose subsystem based on Bergman's minimal model is coupled with subcutaneous insulin absorption and absorption of digested carbohydrates. Identification of model parameters was performed on pharmacokinetics and pharmacodynamics characteristics of administered insulin and data collected from continuous glucose monitoring (CGM) system. The identified model served as a basis for designing a model reference adaptive controller.
{"title":"Individualized T1DM simulator for verification of adaptive controller","authors":"Ivan Ottinger, T. Ludwig, E. Miklovičová, V. Batora, J. Murgas, Marian Tarnik","doi":"10.1109/PC.2015.7169986","DOIUrl":"https://doi.org/10.1109/PC.2015.7169986","url":null,"abstract":"Individualized type 1 diabetes mellitus (T1DM) subject model is presented in this paper. Insulin-glucose subsystem based on Bergman's minimal model is coupled with subcutaneous insulin absorption and absorption of digested carbohydrates. Identification of model parameters was performed on pharmacokinetics and pharmacodynamics characteristics of administered insulin and data collected from continuous glucose monitoring (CGM) system. The identified model served as a basis for designing a model reference adaptive controller.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757732","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}
This paper describes one of the realization possibility of model predictive control algorithm for industry application. In this case, the predictive control strategy should be finally applied on the steam superheaters. It describes the steam superheating technology, the actual state and the vision how to realize the improvement in the control. The detailed description of the software/hardware realization is included. Some significant simulation results from simulation tests and from the real time tests are presented.
{"title":"Steam superheaters predictive control system: An implementation Stulukas.hubdy","authors":"Petr Školník, L. Hubka","doi":"10.1109/PC.2015.7169960","DOIUrl":"https://doi.org/10.1109/PC.2015.7169960","url":null,"abstract":"This paper describes one of the realization possibility of model predictive control algorithm for industry application. In this case, the predictive control strategy should be finally applied on the steam superheaters. It describes the steam superheating technology, the actual state and the vision how to realize the improvement in the control. The detailed description of the software/hardware realization is included. Some significant simulation results from simulation tests and from the real time tests are presented.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116609504","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}
This paper describes the development of Interval Type-2 NEO-Fuzzy Neural Network for modeling of complex dynamics. The proposed network represents a parallel set of multiple zero order Sugeno type approximations, related only to their own input argument. As learning procedure a simple heuristic backpropagation approach, where the sign of the gradient is taken into account, is adopted. To improve the robustness of the network and the possibilities for handling uncertainties, Interval Type-2 Gaussian fuzzy sets are introduced into the network topology. The potentials of the proposed approach in modeling of Mackey-Glass and Rossler Chaotic time series are studied. A comparison is made with the classical Gradient Descent learning approach.
{"title":"Simple heuristic approach for training of Type-2 NEO-Fuzzy Neural Network","authors":"Y. Todorov, M. Terziyska","doi":"10.1109/PC.2015.7169976","DOIUrl":"https://doi.org/10.1109/PC.2015.7169976","url":null,"abstract":"This paper describes the development of Interval Type-2 NEO-Fuzzy Neural Network for modeling of complex dynamics. The proposed network represents a parallel set of multiple zero order Sugeno type approximations, related only to their own input argument. As learning procedure a simple heuristic backpropagation approach, where the sign of the gradient is taken into account, is adopted. To improve the robustness of the network and the possibilities for handling uncertainties, Interval Type-2 Gaussian fuzzy sets are introduced into the network topology. The potentials of the proposed approach in modeling of Mackey-Glass and Rossler Chaotic time series are studied. A comparison is made with the classical Gradient Descent learning approach.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129941869","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}
This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to three-level neutral point clamped inverter (3L-NPC). The controller uses a model of the converter, DC link and load to calculate predictions of the future values of the load currents and DC-link capacitor voltages for all possible voltage vectors. The cost function is defined to minimize the error between the reference currents and predicted load currents, balance the DC-link capacitor voltage and reduce the switching frequency. The optimal switching state that minimizes the cost function is selected and applied to the converter. Furthermore, the quality of the current and voltage are improved by using a two prediction steps procedure. Simulation results for the one and two prediction step are presented and compared with linear current controller and space-vector modulation (PI-SVM). The obtained results show the better performances of the proposed control method.
{"title":"Model predictive control with two-step horizon for three-level neutral-point clamped inverter","authors":"B. Ngo, P. Rodríguez-Ayerbe, Sorin Olaru","doi":"10.1109/PC.2015.7169965","DOIUrl":"https://doi.org/10.1109/PC.2015.7169965","url":null,"abstract":"This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to three-level neutral point clamped inverter (3L-NPC). The controller uses a model of the converter, DC link and load to calculate predictions of the future values of the load currents and DC-link capacitor voltages for all possible voltage vectors. The cost function is defined to minimize the error between the reference currents and predicted load currents, balance the DC-link capacitor voltage and reduce the switching frequency. The optimal switching state that minimizes the cost function is selected and applied to the converter. Furthermore, the quality of the current and voltage are improved by using a two prediction steps procedure. Simulation results for the one and two prediction step are presented and compared with linear current controller and space-vector modulation (PI-SVM). The obtained results show the better performances of the proposed control method.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129694078","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}
In many practical applications, that can be found in control engineering, the functionality and safety of the overall control process rely on a proper function of the respective operating system. This fact makes the software one of the most safety critical elements of such practical applications, especially when the control process is placed in an inhospitable environment not directly accessible to man. One of such environments is Space. In this paper a problem of designing a safety critical real time operating system for a small space satellite called CubeSat is discussed. It is shown how to design such an operating system and how to increase its reliability and to protect it against single upset events.
{"title":"Safety critical RTOS for space satellites","authors":"J. Slacka, M. Halás","doi":"10.1109/PC.2015.7169971","DOIUrl":"https://doi.org/10.1109/PC.2015.7169971","url":null,"abstract":"In many practical applications, that can be found in control engineering, the functionality and safety of the overall control process rely on a proper function of the respective operating system. This fact makes the software one of the most safety critical elements of such practical applications, especially when the control process is placed in an inhospitable environment not directly accessible to man. One of such environments is Space. In this paper a problem of designing a safety critical real time operating system for a small space satellite called CubeSat is discussed. It is shown how to design such an operating system and how to increase its reliability and to protect it against single upset events.","PeriodicalId":173529,"journal":{"name":"2015 20th International Conference on Process Control (PC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129748946","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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