This contribution is focused on technical design, development and operation of real time laboratory model which demonstrates principles of industrial automation. The model uses specific multilevel interconnection (Internet/Ethernet - ASI bus) as an example of a higher level of communication between automation systems. The model consists of three interconnected reservoirs where the fluid levels are controlled. Height of the fluid column is measured by modern capacitive sensors and regulated at a constant level by actuators (pump and valves). Inputs and outputs of the system are connected to the central unit, PLC Simatic S7-200 from SIEMENS. Software tools correspond to the type of PLC, specifically a development environment STEP7 - Micro/Win is used. Data transfer from the central unit to the PC server of LABI system is via the LAN/Ethernet and OPC server software.
{"title":"Industrial process in laboratory environment","authors":"Petr Skočík, P. Neumann","doi":"10.1109/PC.2013.6581430","DOIUrl":"https://doi.org/10.1109/PC.2013.6581430","url":null,"abstract":"This contribution is focused on technical design, development and operation of real time laboratory model which demonstrates principles of industrial automation. The model uses specific multilevel interconnection (Internet/Ethernet - ASI bus) as an example of a higher level of communication between automation systems. The model consists of three interconnected reservoirs where the fluid levels are controlled. Height of the fluid column is measured by modern capacitive sensors and regulated at a constant level by actuators (pump and valves). Inputs and outputs of the system are connected to the central unit, PLC Simatic S7-200 from SIEMENS. Software tools correspond to the type of PLC, specifically a development environment STEP7 - Micro/Win is used. Data transfer from the central unit to the PC server of LABI system is via the LAN/Ethernet and OPC server software.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131718043","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}
The paper deals with the neuro-fuzzy controller design for nonlinear controlled system. The designed neuro-fuzzy controller was Takagi-Sugeno type with two Gaussian membership functions for each considered input. The benchmark system represents Continuous Stirred Tank Reactor (CSTR) with first order exothermic chemical reaction of propylene oxide hydrolyses. Processing of the reactor is influenced by various uncertainties as e.g. measurement noise, varying parameters, disturbances, and conventional control may not lead to satisfying control performance. The control performance was investigated using simulation of control. The control trajectory ensured by the designed neuro-fuzzy controller was compare with the ones generated by the classical PI controller. The simulation results confirmed improved the control performance of the both, the set-point tracking and the disturbance rejection.
{"title":"Neuro-fuzzy control of exothermic chemical reactor","authors":"Jana Kmeťová, A. Vasickaninova, J. Dvoran","doi":"10.1109/PC.2013.6581403","DOIUrl":"https://doi.org/10.1109/PC.2013.6581403","url":null,"abstract":"The paper deals with the neuro-fuzzy controller design for nonlinear controlled system. The designed neuro-fuzzy controller was Takagi-Sugeno type with two Gaussian membership functions for each considered input. The benchmark system represents Continuous Stirred Tank Reactor (CSTR) with first order exothermic chemical reaction of propylene oxide hydrolyses. Processing of the reactor is influenced by various uncertainties as e.g. measurement noise, varying parameters, disturbances, and conventional control may not lead to satisfying control performance. The control performance was investigated using simulation of control. The control trajectory ensured by the designed neuro-fuzzy controller was compare with the ones generated by the classical PI controller. The simulation results confirmed improved the control performance of the both, the set-point tracking and the disturbance rejection.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129788648","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}
An isothermal reactor is a typical member of nonlinear processes. The mathematical modeling and computer simulations are tools widely used nowadays for their advantages over the experiment on the real system. The mathematical model of the surveyed isothermal reactor is described by the set of five ordinary differential equations which could be easily programmed and solved by mathematical software, e.g. Matlab. The paper shows a procedure for designing and controlling of this type of the reactor. The design of an adaptive controller uses a polynomial approach together with the linear-quadratic approach and the spectral factorization. It means that this controller satisfies basic control requirements. The adaptivity of the system is satisfied by the recursive identification of the external linear model.
{"title":"Hybrid adaptive control of isothermal reactor","authors":"J. Vojtesek, P. Dostál","doi":"10.1109/PC.2013.6581397","DOIUrl":"https://doi.org/10.1109/PC.2013.6581397","url":null,"abstract":"An isothermal reactor is a typical member of nonlinear processes. The mathematical modeling and computer simulations are tools widely used nowadays for their advantages over the experiment on the real system. The mathematical model of the surveyed isothermal reactor is described by the set of five ordinary differential equations which could be easily programmed and solved by mathematical software, e.g. Matlab. The paper shows a procedure for designing and controlling of this type of the reactor. The design of an adaptive controller uses a polynomial approach together with the linear-quadratic approach and the spectral factorization. It means that this controller satisfies basic control requirements. The adaptivity of the system is satisfied by the recursive identification of the external linear model.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"96 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114023225","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 studies the problem of robust stabilization of discrete time switched systems. The stabilization conditions are written as linear matrix inequalities. Using the polyquadratic Lyapunov approach provides a way to design robust stabilizing control of switched system. This control design approach is considered for both state and output feedback cases and illustrated on an example model of switched two-tank system. Integral part of controller is used for tracking reference trajectory.
{"title":"Robust stabilization of switched two-tank system model via state feedback PI controller","authors":"P. Valach, R. Krasnansky","doi":"10.1109/PC.2013.6581451","DOIUrl":"https://doi.org/10.1109/PC.2013.6581451","url":null,"abstract":"This paper studies the problem of robust stabilization of discrete time switched systems. The stabilization conditions are written as linear matrix inequalities. Using the polyquadratic Lyapunov approach provides a way to design robust stabilizing control of switched system. This control design approach is considered for both state and output feedback cases and illustrated on an example model of switched two-tank system. Integral part of controller is used for tracking reference trajectory.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114611477","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}
Control loop performance assessment (CLPA) techniques are crucial for optimizing any plant or machine. They can bring huge energy and material savings and increase product quality. In this paper, the employment of running discrete Fourier transform (RDFT) in CLPA field is discussed. The first part of the paper documents the development of new RDFT function block which is suitable for CLPA. The paper focuses on implementation aspects whose aim is to minimize the number of arithmetic operations and to avoid numerical errors which are cumulated in many algorithms when running over longer time period. Then three RDFT applications are introduced. They are mostly dedicated to CLPA area: The changes in RDFT output help to detect increasing valve stiction or reveal a cause of oscillations in the loop. RDFT can be also used for continuous monitoring of process changes at particular frequencies. The most advanced problem presented is the estimation of special performance indices. More specifically, key samples of sensitivity function are gained and compared to the reference ones. Inspired by the model free design techniques, only a minimum a priori information about the process is assumed. The authors believe that the presented ideas will be suitable for both academic and industrial sphere.
{"title":"Running discrete Fourier transform and its applications in control loop performance assessment","authors":"M. Schlegel, R. Skarda, M. Cech","doi":"10.1109/PC.2013.6581393","DOIUrl":"https://doi.org/10.1109/PC.2013.6581393","url":null,"abstract":"Control loop performance assessment (CLPA) techniques are crucial for optimizing any plant or machine. They can bring huge energy and material savings and increase product quality. In this paper, the employment of running discrete Fourier transform (RDFT) in CLPA field is discussed. The first part of the paper documents the development of new RDFT function block which is suitable for CLPA. The paper focuses on implementation aspects whose aim is to minimize the number of arithmetic operations and to avoid numerical errors which are cumulated in many algorithms when running over longer time period. Then three RDFT applications are introduced. They are mostly dedicated to CLPA area: The changes in RDFT output help to detect increasing valve stiction or reveal a cause of oscillations in the loop. RDFT can be also used for continuous monitoring of process changes at particular frequencies. The most advanced problem presented is the estimation of special performance indices. More specifically, key samples of sensitivity function are gained and compared to the reference ones. Inspired by the model free design techniques, only a minimum a priori information about the process is assumed. The authors believe that the presented ideas will be suitable for both academic and industrial sphere.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133978401","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}
Modeling and control of the extruder temperature field is discussed, a process governed by a nonlinear partial differential equation. Utilizing finite element approximation a discretized input/output representation of the system is created with the inputs being powers of heaters and output the extruder temperature field. Local linearization is applied at the operating point and the controller is designed based on the lumped-input and distributed-parameter-output systems approach, using the time-space decoupling of systems' dynamics. Results are verified experimentally.
{"title":"Extruder barrel temperature field control using the lumped input and distributed output approach","authors":"S. Lipar, P. Noga, G. Hulkó","doi":"10.1109/PC.2013.6581407","DOIUrl":"https://doi.org/10.1109/PC.2013.6581407","url":null,"abstract":"Modeling and control of the extruder temperature field is discussed, a process governed by a nonlinear partial differential equation. Utilizing finite element approximation a discretized input/output representation of the system is created with the inputs being powers of heaters and output the extruder temperature field. Local linearization is applied at the operating point and the controller is designed based on the lumped-input and distributed-parameter-output systems approach, using the time-space decoupling of systems' dynamics. Results are verified experimentally.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122222938","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 two-dimensional fixed-bed catalytic reactor model for acrolein production has been developped. The reactor and kinetic models have been identified by using both laboratory-scale and pilot-scale measurements. Many operating conditions such as coolant temperature, feeding rate, inlet pressure and temperature have great influence on the yield of acrolein and also on the bed temperature which are two very important parameters. More specifically, the coolant temperature and feeding rate are the two most important parameters for the acrolein production. With a set of different feed rates, the coolant temperature and the reactor inlet temperature were optimized to maximise the yield of acrolein for a given reactor length and inlet pressure. There was an optimal feeding rate for the maximum yield of acrolein. The study of the influence of number of the cooling sections with different temperatures shows that there was no significant improvement in the yield of acrolein.
{"title":"Optimization of acrolein production in a fixed-bed reactor system","authors":"M. Lei, F. Lesage, M. A. Latifi, S. Tretjak","doi":"10.1109/PC.2013.6581447","DOIUrl":"https://doi.org/10.1109/PC.2013.6581447","url":null,"abstract":"A two-dimensional fixed-bed catalytic reactor model for acrolein production has been developped. The reactor and kinetic models have been identified by using both laboratory-scale and pilot-scale measurements. Many operating conditions such as coolant temperature, feeding rate, inlet pressure and temperature have great influence on the yield of acrolein and also on the bed temperature which are two very important parameters. More specifically, the coolant temperature and feeding rate are the two most important parameters for the acrolein production. With a set of different feed rates, the coolant temperature and the reactor inlet temperature were optimized to maximise the yield of acrolein for a given reactor length and inlet pressure. There was an optimal feeding rate for the maximum yield of acrolein. The study of the influence of number of the cooling sections with different temperatures shows that there was no significant improvement in the yield of acrolein.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"33 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123519724","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}
Industrial induction heating represents the environmentally clean, contactless method of steel heating. Same time it has high energy consumption, so in recent years, more efficient modular topology of heaters were introduced. Due to its multiple power modules, there is a possibility to apply the distributed parameter system control theory. By the usage of COMSOL Multiphysics solution, the model in the form of lumped-input and distributed-parameter-output system has been built. The process control is performed on the relations between the coil currents fed into four separate modules of heating device and desired billet temperature profile.
{"title":"Control of continuous steel billet induction heater as distributed parameter system","authors":"J. Camber, J. Kapusta, G. Hulkó","doi":"10.1109/PC.2013.6581384","DOIUrl":"https://doi.org/10.1109/PC.2013.6581384","url":null,"abstract":"Industrial induction heating represents the environmentally clean, contactless method of steel heating. Same time it has high energy consumption, so in recent years, more efficient modular topology of heaters were introduced. Due to its multiple power modules, there is a possibility to apply the distributed parameter system control theory. By the usage of COMSOL Multiphysics solution, the model in the form of lumped-input and distributed-parameter-output system has been built. The process control is performed on the relations between the coil currents fed into four separate modules of heating device and desired billet temperature profile.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123549728","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}
C. Belavý, Marcel Vlcek, Filip Vitalos, Stanislav Lel'o, D. Šišmišová
In the paper models of distributed parameter systems in the form of lumped-input/distributed-output systems are introduced and modelling of temperature fields of a melting glass process by using of finite element method in software Environment COMSOL Multiphysics is presented. Obtained distributed characteristics are exported to the MATLAB & Simulink, where lumped and distributed models for control synthesis purpose are created. By means of Distributed Parameter Systems Blockset for MATLAB & Simulink, feedback distributed parameter system of control is arranged, where for chosen PID control synthesis method, simulation of control process of temperature field of melting glass is executed and analyzed.
{"title":"FEM based modelling and PID controllers design for a class of distributed parameter systems","authors":"C. Belavý, Marcel Vlcek, Filip Vitalos, Stanislav Lel'o, D. Šišmišová","doi":"10.1109/PC.2013.6581423","DOIUrl":"https://doi.org/10.1109/PC.2013.6581423","url":null,"abstract":"In the paper models of distributed parameter systems in the form of lumped-input/distributed-output systems are introduced and modelling of temperature fields of a melting glass process by using of finite element method in software Environment COMSOL Multiphysics is presented. Obtained distributed characteristics are exported to the MATLAB & Simulink, where lumped and distributed models for control synthesis purpose are created. By means of Distributed Parameter Systems Blockset for MATLAB & Simulink, feedback distributed parameter system of control is arranged, where for chosen PID control synthesis method, simulation of control process of temperature field of melting glass is executed and analyzed.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130273404","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}
Application of the Add-On Simple Adaptive Control Algorithm in real time is presented. The algorithm is applied to a real linear drive system. The algorithm has been implemented in SIMULINK® within the dSPACE® Real-Time Control Environment. The Add-On simple adaptive control algorithm is briefly reviewed and design procedure is outlined. The performance in real-time shows the ability of the Add-On simple adaptive control algorithm to perform on real hardware in noisy environment while improving the performance and robustness.
{"title":"Real-time implementation of Add-On Simple Adaptive Control Algorithm to linear stage","authors":"I. Rusnak, Itai Nesher, Yotam Dana","doi":"10.1109/PC.2013.6581452","DOIUrl":"https://doi.org/10.1109/PC.2013.6581452","url":null,"abstract":"Application of the Add-On Simple Adaptive Control Algorithm in real time is presented. The algorithm is applied to a real linear drive system. The algorithm has been implemented in SIMULINK® within the dSPACE® Real-Time Control Environment. The Add-On simple adaptive control algorithm is briefly reviewed and design procedure is outlined. The performance in real-time shows the ability of the Add-On simple adaptive control algorithm to perform on real hardware in noisy environment while improving the performance and robustness.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127710270","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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