The paper presents one of the possibilities how to control selected mechatronic system using the fuzzy logic. The proposed solution is illustrated on the case study that is simulated in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. This co-simulation consists of the data transfer between mentioned environments while the control part is realized in Matlab-Simulink by fuzzy controller and the dynamics of the mechatronic system is created in MSC Adams.
{"title":"Fuzzy logic control of mechatronic systems","authors":"J. Cigánek, F. Noge","doi":"10.1109/PC.2013.6581428","DOIUrl":"https://doi.org/10.1109/PC.2013.6581428","url":null,"abstract":"The paper presents one of the possibilities how to control selected mechatronic system using the fuzzy logic. The proposed solution is illustrated on the case study that is simulated in co-simulation of two different modeling environments - Matlab-Simulink and MSC Adams. This co-simulation consists of the data transfer between mentioned environments while the control part is realized in Matlab-Simulink by fuzzy controller and the dynamics of the mechatronic system is created in MSC Adams.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"1 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":"130028702","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 describes the first attempt to develop the software for computing the so-called flat output of the discrete-time nonlinear control system. The functions are implemented in NLControl, a package for nonlinear control systems, developed within the computer algebra system Mathematica. The implemented algorithm is quite elaborate. It involves the elements from the exterior differential calculus and from the theory of non-commutative polynomial rings, and requires solving large-scale systems of partial differential equations. At present the developed programs are only able to handle simple systems.
{"title":"Computation of flat outputs for discrete-time nonlinear systems with mathematica","authors":"K. Halturina, A. Kaldmae, U. Kotta, M. Tõnso","doi":"10.1109/PC.2013.6581392","DOIUrl":"https://doi.org/10.1109/PC.2013.6581392","url":null,"abstract":"The paper describes the first attempt to develop the software for computing the so-called flat output of the discrete-time nonlinear control system. The functions are implemented in NLControl, a package for nonlinear control systems, developed within the computer algebra system Mathematica. The implemented algorithm is quite elaborate. It involves the elements from the exterior differential calculus and from the theory of non-commutative polynomial rings, and requires solving large-scale systems of partial differential equations. At present the developed programs are only able to handle simple systems.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"62 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":"124740248","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}
We propose three different Model Predictive Control (MPC) strategies for controlling temperatures in buildings. We show that maximization of thermal comfort, along with minimization of energy consumption, can be cast in various ways, each having their pros and cons. The three strategies include tracking of setpoint temperatures, tracking of a comfort zone, and minimization of number of violations of such a zone. Even though the latter formulation is the most demanding from a computational point of view, it indeed provides best thermal comfort. All proposed methods are compared with respect to two qualitative criteria on simulations.
{"title":"Comparison of MPC strategies for building control","authors":"Ján Drgoňa, M. Kvasnica","doi":"10.1109/PC.2013.6581444","DOIUrl":"https://doi.org/10.1109/PC.2013.6581444","url":null,"abstract":"We propose three different Model Predictive Control (MPC) strategies for controlling temperatures in buildings. We show that maximization of thermal comfort, along with minimization of energy consumption, can be cast in various ways, each having their pros and cons. The three strategies include tracking of setpoint temperatures, tracking of a comfort zone, and minimization of number of violations of such a zone. Even though the latter formulation is the most demanding from a computational point of view, it indeed provides best thermal comfort. All proposed methods are compared with respect to two qualitative criteria on simulations.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"207 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":"122786048","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}
Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is known that GS controllers have better performance than robust controllers. Following the terminology in control engineering linear parameter-varying (LPV) systems are time-varying plants whose state space matrices are fixed functions of some vector of varying parameters. Our approach is based on considering the LPV system and scheduling parameter and their derivatives with respect to time are supposed to lie in a priori given hyper rectangles. For guarantee the performance we use the notion of guaranteed cost and optimised to given a cost function. The class of control structure includes decentralised fixed order output feedback like PID controller. Numerical examples illustrate the effectiveness of the proposed approach.
{"title":"Gain-scheduled controller design: Guaranteed quality approach","authors":"V. Veselý, Adrian Ilka","doi":"10.1109/PC.2013.6581453","DOIUrl":"https://doi.org/10.1109/PC.2013.6581453","url":null,"abstract":"Gain scheduling (GS) is one of the most popular approaches to nonlinear control design and it is known that GS controllers have better performance than robust controllers. Following the terminology in control engineering linear parameter-varying (LPV) systems are time-varying plants whose state space matrices are fixed functions of some vector of varying parameters. Our approach is based on considering the LPV system and scheduling parameter and their derivatives with respect to time are supposed to lie in a priori given hyper rectangles. For guarantee the performance we use the notion of guaranteed cost and optimised to given a cost function. The class of control structure includes decentralised fixed order output feedback like PID controller. Numerical examples illustrate the effectiveness of the proposed approach.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"1 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":"122796032","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, simulation and investigation of Active Magnetic Levitation Systems (AMLS) is the aim of this article. We designed the effective control law for the stable operation in the levitation mode because these devices are essentially unstable in nature. The stabilizing controller has to generate the appropriate value of electromagnetic force to levitate an object. It is very important to choose convenient form and parameters of the controllers. The design parameters and controller design are to be analyzed in a complex form at the modeling stage. Magnetic levitation system for 3 and 5 axis model of magnetic bearing is analyzed, because AMLS are specific mechatronics devices where the construction and control laws are joined strongly. Simulation results of 3 and 5-axis model are presented to check correct form and parameters of the controller.
{"title":"Mechatronic system of levitation system","authors":"G. Martin, Kozák Štefan","doi":"10.1109/PC.2013.6581386","DOIUrl":"https://doi.org/10.1109/PC.2013.6581386","url":null,"abstract":"Modeling, simulation and investigation of Active Magnetic Levitation Systems (AMLS) is the aim of this article. We designed the effective control law for the stable operation in the levitation mode because these devices are essentially unstable in nature. The stabilizing controller has to generate the appropriate value of electromagnetic force to levitate an object. It is very important to choose convenient form and parameters of the controllers. The design parameters and controller design are to be analyzed in a complex form at the modeling stage. Magnetic levitation system for 3 and 5 axis model of magnetic bearing is analyzed, because AMLS are specific mechatronics devices where the construction and control laws are joined strongly. Simulation results of 3 and 5-axis model are presented to check correct form and parameters of the controller.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"195 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":"122518479","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 robotic manipulator for automated testing of shifting system which was developed for automotive industry. Procedure of modelling and control design for hybrid force/position motion control as well as construction of the test stand and experimental results are presented. The proposed control structure with minimum set of feature-based parameters allows rapid online tuning in case of variable testing conditions even by an unskilled operator.
{"title":"Control system design of robotic manipulator for testing of shifting system","authors":"M. Goubej, J. Mertl, P. Balda","doi":"10.1109/PC.2013.6581416","DOIUrl":"https://doi.org/10.1109/PC.2013.6581416","url":null,"abstract":"The paper deals with robotic manipulator for automated testing of shifting system which was developed for automotive industry. Procedure of modelling and control design for hybrid force/position motion control as well as construction of the test stand and experimental results are presented. The proposed control structure with minimum set of feature-based parameters allows rapid online tuning in case of variable testing conditions even by an unskilled operator.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"28 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":"127839840","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 aim of this paper is to present a nonlinear model-based predictive control (NMPC) for air-fuel ratio (AFR) of spark ignited (SI) engines. Complexity of NMPC implementation causes that the computational requirements on storage space and online computation time have to be considered in the controller design. Especially a limitation on computation time makes often the optimal control law too complex to be implemented and some suboptimal solution has to be provided to meet the requirements. The point of the paper is to present the controller which utilizes the simplified control problem in a warm-start technique and allows to decrease the online computational effort caused by the nonlinear predictive controller.
{"title":"Nonlinear air-fuel ratio predictive control of spark ignited engines","authors":"S. Wojnar, M. Honek, B. Rohal’-Ilkiv","doi":"10.1109/PC.2013.6581413","DOIUrl":"https://doi.org/10.1109/PC.2013.6581413","url":null,"abstract":"The aim of this paper is to present a nonlinear model-based predictive control (NMPC) for air-fuel ratio (AFR) of spark ignited (SI) engines. Complexity of NMPC implementation causes that the computational requirements on storage space and online computation time have to be considered in the controller design. Especially a limitation on computation time makes often the optimal control law too complex to be implemented and some suboptimal solution has to be provided to meet the requirements. The point of the paper is to present the controller which utilizes the simplified control problem in a warm-start technique and allows to decrease the online computational effort caused by the nonlinear predictive controller.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"7 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":"123848624","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 presents the possibility of introducing artificial intelligence and especially artificial neural network methodology to students in interesting way. To be more specific, the artificial neural network is described through the design of NPCs artificial intelligence in simple computer game.
{"title":"Artificial neural network promotion","authors":"P. Doležel, Martin Manska, I. Taufer, L. Havlícek","doi":"10.1109/PC.2013.6581411","DOIUrl":"https://doi.org/10.1109/PC.2013.6581411","url":null,"abstract":"The paper presents the possibility of introducing artificial intelligence and especially artificial neural network methodology to students in interesting way. To be more specific, the artificial neural network is described through the design of NPCs artificial intelligence in simple computer game.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"3 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":"121427898","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 presents a method for robust PI controller design for a system affected by parametric uncertainty. The proposed method is based on plotting the stability boundary locus in the plane of controller parameters that is called (kp, ki)-plane. The design approach is verified using simulations of robust stabilization and control of the chemical continuous-time stirred tank reactor (CSTR) with hydrolysis of propylene glycol. The control input is the volumetric flow rate of the reaction mixture and the controlled output is the temperature of the reacting mixture. The reactor which has three uncertain parameters is controlled into its stable and unstable steady-state. Obtained results confirm that designed robust PI controllers ensure robust stability in both steady-states.
{"title":"Robust PI controller design for a continuous stirred tank reactor with multiple steady-states","authors":"J. Závacká, M. Bakosová, Katarína Matejičková","doi":"10.1109/PC.2013.6581455","DOIUrl":"https://doi.org/10.1109/PC.2013.6581455","url":null,"abstract":"The paper presents a method for robust PI controller design for a system affected by parametric uncertainty. The proposed method is based on plotting the stability boundary locus in the plane of controller parameters that is called (kp, ki)-plane. The design approach is verified using simulations of robust stabilization and control of the chemical continuous-time stirred tank reactor (CSTR) with hydrolysis of propylene glycol. The control input is the volumetric flow rate of the reaction mixture and the controlled output is the temperature of the reacting mixture. The reactor which has three uncertain parameters is controlled into its stable and unstable steady-state. Obtained results confirm that designed robust PI controllers ensure robust stability in both steady-states.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"31 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":"121577603","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 presents a novel concept of the anisotropy-based analysis for the stochastic sequences with nonzero mean. The formulas for the anisotropy of random vector and mean anisotropy of sequence are obtained. Basic types of shaping filter connections are presented.
{"title":"The concept of mean anisotropy of signals with nonzero mean","authors":"A. Kurdyukov, A. Kustov, M. Tchaikovsky, M. Kárný","doi":"10.1109/PC.2013.6581379","DOIUrl":"https://doi.org/10.1109/PC.2013.6581379","url":null,"abstract":"The paper presents a novel concept of the anisotropy-based analysis for the stochastic sequences with nonzero mean. The formulas for the anisotropy of random vector and mean anisotropy of sequence are obtained. Basic types of shaping filter connections are presented.","PeriodicalId":232418,"journal":{"name":"2013 International Conference on Process Control (PC)","volume":"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":"131542014","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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