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[nazev] => Complex Design of Stewart Platform Structure Based Parallel Mechanism
[nazev_orig] => Complex Design of Stewart Platform Structure Based Parallel Mechanism
[duvernost_udaju_id] => S
[popis] => The article deals with the complex design of Stewart platform structure based
parallel mechanism and design of its control as well. The first part of the article
briefly describes engineering design of the mechanism which is based on time
proven conception with the linear actuator connected to the base plate by U joint
and to the top plate by spherical joint. Also linear actuator design is described. The
second part deals with creating of mechanism dynamics model in Matlab
SimMechanics. Principles of model linearization and obtaining of the mechanism
state space model, for later control design, are described. The last part describes
the control design which is based on idea of two layer control. The controllers have
relatively simple linear structure and allow us to tune eigenvalues of the controlling
device. It can be said that presented approach is quite complex and seems to be
suitable for modeling and control design of complicated mechanisms.
[popis_orig] => The article deals with the complex design of Stewart platform structure based
parallel mechanism and design of its control as well. The first part of the article
briefly describes engineering design of the mechanism which is based on time
proven conception with the linear actuator connected to the base plate by U joint
and to the top plate by spherical joint. Also linear actuator design is described. The
second part deals with creating of mechanism dynamics model in Matlab
SimMechanics. Principles of model linearization and obtaining of the mechanism
state space model, for later control design, are described. The last part describes
the control design which is based on idea of two layer control. The controllers have
relatively simple linear structure and allow us to tune eigenvalues of the controlling
device. It can be said that presented approach is quite complex and seems to be
suitable for modeling and control design of complicated mechanisms.
[klicova_slova] => parallel mechanism, Stewart platform, dynamics modeling, control
[klicova_slova_orig] => parallel mechanism, Stewart platform, dynamics modeling, control
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[citace_text] => BŘEZINA, T.; HOUŠKA, P.; BŘEZINA, L.; ANDRŠ, O. Complex Design of Stewart Platform Structure Based Parallel Mechanism. Acta Mechanica Slovaca, 2008, vol. 2008, no. 3-B, p. 83-96. ISSN: 1335-2393.
[citace_html] => BŘEZINA, T.; HOUŠKA, P.; BŘEZINA, L.; ANDRŠ, O. Complex Design of Stewart Platform Structure Based Parallel Mechanism. Acta Mechanica Slovaca, 2008, vol. 2008, no. 3-B, p. 83-96. ISSN: 1335-2393.
[citace_rtf] =>
[citace_bibtex] => @article{BUT49660,
author="Tomáš {Březina} and Pavel {Houška} and Lukáš {Březina} and Ondřej {Andrš}",
title="Complex Design of Stewart Platform Structure Based Parallel Mechanism",
journal="Acta Mechanica Slovaca",
year="2008",
volume="2008",
number="3-B",
pages="83--96",
issn="1335-2393"
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[popis_en] => The article deals with the complex design of Stewart platform structure based
parallel mechanism and design of its control as well. The first part of the article
briefly describes engineering design of the mechanism which is based on time
proven conception with the linear actuator connected to the base plate by U joint
and to the top plate by spherical joint. Also linear actuator design is described. The
second part deals with creating of mechanism dynamics model in Matlab
SimMechanics. Principles of model linearization and obtaining of the mechanism
state space model, for later control design, are described. The last part describes
the control design which is based on idea of two layer control. The controllers have
relatively simple linear structure and allow us to tune eigenvalues of the controlling
device. It can be said that presented approach is quite complex and seems to be
suitable for modeling and control design of complicated mechanisms.
[klicova_slova_en] => parallel mechanism, Stewart platform, dynamics modeling, control
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[nazev] => Intelligent Weighing of Goods for Packing
[nazev_orig] => Intelligent Weighing of Goods for Packing
[duvernost_udaju_id] => S
[popis] => The paper deals with the practical problem of the intelligent weighing and his real solution by means of unprecedented new progression. The project was concerned with handling and weighing goods with different weights of individual items. The basic part of the project is a demonstration of automatic control of the intelligent process of weighing and sorting goods using mostly hardware and software resources by Phoenix Contact. The basic idea of an intelligent weighing is based on the fact that the movement dynamics depends on the weight of the goods handled. In the process of movement control, detailed position and motor current values are measured to calculate the desired weight of the goods to be transported (handled).
[popis_orig] => The paper deals with the practical problem of the intelligent weighing and his real solution by means of unprecedented new progression. The project was concerned with handling and weighing goods with different weights of individual items. The basic part of the project is a demonstration of automatic control of the intelligent process of weighing and sorting goods using mostly hardware and software resources by Phoenix Contact. The basic idea of an intelligent weighing is based on the fact that the movement dynamics depends on the weight of the goods handled. In the process of movement control, detailed position and motor current values are measured to calculate the desired weight of the goods to be transported (handled).
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[citace_text] => MATOUŠEK, R.; NĚMEC, Z.; MARADA, T. Intelligent Weighing of Goods for Packing. Cybernetic Letters, 2008, vol. 6, no. II, p. 1-5. ISSN: 1802-3525.
[citace_html] => MATOUŠEK, R.; NĚMEC, Z.; MARADA, T. Intelligent Weighing of Goods for Packing. Cybernetic Letters, 2008, vol. 6, no. II, p. 1-5. ISSN: 1802-3525.
[citace_rtf] =>
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author="Radomil {Matoušek} and Zdeněk {Němec} and Tomáš {Marada}",
title="Intelligent Weighing of Goods for Packing",
journal="Cybernetic Letters",
year="2008",
volume="6",
number="II",
pages="1--5",
issn="1802-3525"
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[nazev] => Stewart platform model with uncertain parameters
[nazev_orig] => Stewart platform model with uncertain parameters
[duvernost_udaju_id] => S
[popis] => The paper deals with development of uncertain dynamics model of a six DOF parallel mechanism (Stewart platform) suitable for H-infinity controller design. The model is based on linear state space models of the machine obtained by linearization of the SimMechanics model. The linearization is performed for two positions of the machine in its workspace. It is the nominal position and the position where each link of the machine reaches its maximal length. The uncertainties are then represented as differences between parameters of corresponding state-space matrices. The uncertain state space model is then obtained using upper linear fractional transformation. There are also mentioned several notes regarding H-infinity controller designed according to the obtained model.
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[citace_text] => BŘEZINA, L.; BŘEZINA, T. Stewart platform model with uncertain parameters. Solid State Phenomena, 2010, vol. 2010, no. 164, p. 177-182. ISSN: 1012-0394.
[citace_html] => BŘEZINA, L.; BŘEZINA, T. Stewart platform model with uncertain parameters. Solid State Phenomena, 2010, vol. 2010, no. 164, p. 177-182. ISSN: 1012-0394.
[citace_rtf] =>
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author="Lukáš {Březina} and Tomáš {Březina}",
title="Stewart platform model with uncertain parameters",
journal="Solid State Phenomena",
year="2010",
volume="2010",
number="164",
pages="177--182",
issn="1012-0394"
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[nazev_en] => Stewart platform model with uncertain parameters
[popis_en] => The paper deals with development of uncertain dynamics model of a six DOF parallel mechanism (Stewart platform) suitable for H-infinity controller design. The model is based on linear state space models of the machine obtained by linearization of the SimMechanics model. The linearization is performed for two positions of the machine in its workspace. It is the nominal position and the position where each link of the machine reaches its maximal length. The uncertainties are then represented as differences between parameters of corresponding state-space matrices. The uncertain state space model is then obtained using upper linear fractional transformation. There are also mentioned several notes regarding H-infinity controller designed according to the obtained model.
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[nazev] => Mathematical Model of Biomass Boiler for Control Purposes
[nazev_orig] => Mathematical Model of Biomass Boiler for Control Purposes
[duvernost_udaju_id] => S
[popis] => This paper focuses on building dynamic mathematical model of biomass boiler of medium energy output (in units of MW) as a controlled system and the use of this model in practice. Model of controlled system will serve especially for research of new ways of industrial biomass boilers control and will provide a device for the optimisation of existing control systems. Construction of the model is based on the heat and mass balance calculations made according to experimental data. These balance calculations serve to precise static properties of experimental unit for biomass combustion. Central part of the paper presents development of the final model that resulted from balance calculations and from analysis of step responses of the system obtained by measuring. Built dynamic model is compared with experimental data through simulations in Matlab/Simulink and verified.
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[popis_orig] => This paper focuses on building dynamic mathematical model of biomass boiler of medium energy output (in units of MW) as a controlled system and the use of this model in practice. Model of controlled system will serve especially for research of new ways of industrial biomass boilers control and will provide a device for the optimisation of existing control systems. Construction of the model is based on the heat and mass balance calculations made according to experimental data. These balance calculations serve to precise static properties of experimental unit for biomass combustion. Central part of the paper presents development of the final model that resulted from balance calculations and from analysis of step responses of the system obtained by measuring. Built dynamic model is compared with experimental data through simulations in Matlab/Simulink and verified.
For validation of its applicability, the model of controlled system is completed with control system and closed-loop control circuit is validated by simulation. Then the design of new controller configuration, which improves the quality of control considerably, is presented. At the final part of the paper, possibilities of other use of the model are given, both in control theory and in industrial practice.
[klicova_slova] => Biomass combustion, boiler control, system identification, balance model, step response analysis, simulation.
[klicova_slova_orig] => Biomass combustion, boiler control, system identification, balance model, step response analysis, simulation.
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[citace_text] => MÁŠA, V.; PAVLAS, M.; ŠVARC, I. Mathematical Model of Biomass Boiler for Control Purposes. Chemical Engineering Transactions, 2011, vol. 25, no. 1, p. 743-748. ISSN: 1974-9791.
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[nazev_en] => Mathematical Model of Biomass Boiler for Control Purposes
[popis_en] => This paper focuses on building dynamic mathematical model of biomass boiler of medium energy output (in units of MW) as a controlled system and the use of this model in practice. Model of controlled system will serve especially for research of new ways of industrial biomass boilers control and will provide a device for the optimisation of existing control systems. Construction of the model is based on the heat and mass balance calculations made according to experimental data. These balance calculations serve to precise static properties of experimental unit for biomass combustion. Central part of the paper presents development of the final model that resulted from balance calculations and from analysis of step responses of the system obtained by measuring. Built dynamic model is compared with experimental data through simulations in Matlab/Simulink and verified.
For validation of its applicability, the model of controlled system is completed with control system and closed-loop control circuit is validated by simulation. Then the design of new controller configuration, which improves the quality of control considerably, is presented. At the final part of the paper, possibilities of other use of the model are given, both in control theory and in industrial practice.
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[popis] => Třetí z volného cyklu článků o vibrodiagnostice se již dotýká problematiky nejistot měření. Jsou zde přiblíženy základní definice používané v teorii o nejistotách spolu se základními vztahy. Důraz je kladen na zdroje nejistot ve vibrodiagnostice, což je základem úspěšné analýzy nejistot. Vše je aplikováno na vibrodiagnostický systém, který se však v samotném principu získávaní dat neliší od jakéhokoliv jiného měřicího systému.
[popis_orig] => Třetí z volného cyklu článků o vibrodiagnostice se již dotýká problematiky nejistot měření. Jsou zde přiblíženy základní definice používané v teorii o nejistotách spolu se základními vztahy. Důraz je kladen na zdroje nejistot ve vibrodiagnostice, což je základem úspěšné analýzy nejistot. Vše je aplikováno na vibrodiagnostický systém, který se však v samotném principu získávaní dat neliší od jakéhokoliv jiného měřicího systému.
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[citace_text] => ZUTH, D.; VDOLEČEK, F. Zdroje nejistot ve vibrodiagnostice. Automa, 2010, roč. 16, č. 6, s. 40-42. ISSN: 1210-9592.
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[nazev_en] => Measurement Uncertainties Sources in Vibration Diagnostics
[popis_en] => Third articles from the series about vibrodiagnostic already affect problems uncertainties measuring. Are here approached basic definition used in the theory of uncertainties together with basic formulas. Accent is laying on sources of uncertainties in vibrodiagnostic, which be the basis of successful uncertainties analyses. Everything is applied on vibrodiagnostics system, which isn't different in principle of data acquisition like whichever other measurement system.
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[popis] => Čtvrtý, předposlední z volného cyklu článků o nejistotách ve vibrodiagnostice navazuje zejména na teorii přiblíženou v předcházejícím článku [8], kterou aplikuje na modelový měřicí řetězec používaný ve vibrodiagnostice. Jeho hlavními tématy jsou analýza zdrojů nejistot a jejich vyčíslení na základě experimentálních zjištění nebo provedených simulací. Vzorový způsob určení výsledné nejistoty je ukázán s použitím modelového příkladu.
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[nazev_en] => Uncertainties Analysis in Vibrodiagnostic
[popis_en] => The fourth, last but one article from the series of articles on vibrodiagnostics issues from theory elucidated in [8] to apply it to a model of measuring chain used in vibrodiagnostics. Main subjects of the article are analysis of uncertainty sources and enumeration of uncertainties based on data obtained from experiments and simulations as well. Model way of resulting uncertainty determination is also shown with use of model example.
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[popis_orig] => The measurement in acoustics and vibration diagnostics branches are very conformable reciprocally often. The paper presents short reflections above measurement uncertainties sources on vibration measurement result. More detailed modeling uncertainties analyses were implemented on authors' workplace for vibro-diagnostics system. The article presents some interesting results of these uncertainties analysis and it is completing liberal to papers line from last years of this seminar thus.
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[citace_text] => VDOLEČEK, F.; ZUTH, D. Examples of Uncertainties Analyze in Vibration Diagnostics and Acoustics. Akustika, 2010, vol. 14, no. 14/2010, p. 40-44. ISSN: 1801-9064.
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[popis_en] => Measurement uncertainties play an important part in all cases where proving of conformity
is required. This is a common situation in technical diagnostics branches, when
conformity needs to be proved (or disproved). The article points at importance as well
as advantage of measurement uncertainty principle use in such cases, all that in loose
relation to recent series of articles on uncertainties in vibro-diagnostics published in Automa-magazine.
[klicova_slova_en] => Capability, conformity, diagnosis, technical diagnostics, measuring chain, measurement uncertainty,
[vysledek_datum] => 2011-04-13T00:00:00+02:00
)
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[nazev] => Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition
[nazev_orig] => Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition
[duvernost_udaju_id] => S
[popis] => In the real-life engineering practice, non-linear regression models have to be designed
rather often. To ensure their technical or physical feasibility, such models may, in
addition, require another coupling condition. This paper describes two procedures
for designing a specific non-linear model using AI methods. A Radial Basis Functions
(RBF) based optimization is presented of the model using Genetic Algorithms (GA).
[popis_orig] => In the real-life engineering practice, non-linear regression models have to be designed
rather often. To ensure their technical or physical feasibility, such models may, in
addition, require another coupling condition. This paper describes two procedures
for designing a specific non-linear model using AI methods. A Radial Basis Functions
(RBF) based optimization is presented of the model using Genetic Algorithms (GA).
[klicova_slova] => Regression, RBF, Neural netvork, Genetic algorithm
[klicova_slova_orig] => Regression, RBF, Neural netvork, Genetic algorithm
[url] =>
[oecd_obor_id] =>
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[nadrazena_soucast_zkratka] => FSI
[nadrazena_soucast_nazev] => Fakulta strojního inženýrství
[originalni_jazyk] => en
[schvalil_id] => 999999
[schvaleno] => 2011-05-16
[vykazovat_riv] => 1
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[posledni_diagnostika] =>
[vycet_osob] => MATOUŠEK, R.
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[druh_popis] => Ostatní články v odborných recenzovaných periodicích splňující definici druhu výsledku
[stav] => Schválený
[vysledek_kategorie_id] => PV
[vysledek_system_kategorie_id] => PU
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[vlozil] => Informační systém Automat
[upravil] => Informační systém Automat
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[ins_ts] => 2025-09-22
[upd_ts] => 2025-09-22
[status] => 9
[identifikator] => ISSN 1802-1484
[identifikator_popis] => ISSN - Engineering Mechanics (CZ)
[riv_dodavka_id] => 24
[riv_dodavka_oznaceni] => RIV12-MSM-26210___
[riv_dodavka_rok] => 2012
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[citace_text] => MATOUŠEK, R. Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition. Engineering Mechanics, 2011, vol. 17, no. 5/6, p. 419-431. ISSN: 1802-1484.
[citace_html] => MATOUŠEK, R. Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition. Engineering Mechanics, 2011, vol. 17, no. 5/6, p. 419-431. ISSN: 1802-1484.
[citace_rtf] =>
[citace_bibtex] => @article{BUT50585,
author="Radomil {Matoušek}",
title="Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition",
journal="Engineering Mechanics",
year="2011",
volume="17",
number="5/6",
pages="419--431",
issn="1802-1484"
}
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[nazev_en] => Using AI Methods to Find a Non-Linear Regression Model with a Coupling Condition
[popis_en] => In the real-life engineering practice, non-linear regression models have to be designed
rather often. To ensure their technical or physical feasibility, such models may, in
addition, require another coupling condition. This paper describes two procedures
for designing a specific non-linear model using AI methods. A Radial Basis Functions
(RBF) based optimization is presented of the model using Genetic Algorithms (GA).
[klicova_slova_en] => Regression, RBF, Neural netvork, Genetic algorithm
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