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Lecture Notes in Control and Information Sciences 2012年 418卷 303-326页

作者： Polóni, Tomáš Rohal'-Ilkiv, Boris Alberer, Daniel Del Re, Luigi Johansen, Tor Arne Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Institute for Design and Control of Mechatronical Systems Johannes Kepler University Linz Austria Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781447122203

The increasing demands on quality of power, emissions and overall performance of combustion engines lay new goals for the hardware and the software development of control systems. High-performance embedded controllers open the possibilities for application of numerical methods to solve the problems of modeling and control of combustion engines. Algorithms for estimation of state and parameters are essential components of many advanced control, monitoring and signal processing engine applications. A widely applicable estimator is given by the Extended Kalman Filter (EKF) which defines a finite memory recursive algorithm suited for real-time implementation, where only the last measurement is used to update the state estimate, based on the past history being approximately summarized by the a priori estimate of the state and the error covariance matrix estimate. The proposed EKF uses an augmented air-path state-space model to estimate unmeasurable mass flow quantities. The EKF algorithm based on the augmented state-space model considerably reduces the modeling errors compared to the open loop estimator simulation and compared to the EKF without the augmentation which is demonstrated on a standard production Diesel engine data. The experimental validation of the observed state quantities is performed against the measured pressures and turbocharger speed data. The estimated mass flow quantities are indirectly validated through the air compressor flow that is directly validated against air mass flow sensor data. Two two-sensor setups are considered in this study. In the first experiment the intake manifold pressure and the turbocharger speed is used. The second experiment uses the intake manifold pressure and the exhaust manifold pressure as the measurement information for the EKF. The second experiment gives more precise mass flow estimate in term of less bias on the estimates, but more variance due to the high frequency exhaust manifold pressure variations caused by the

关键词： Mass transfer

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Control of energy systems as distributed parameter systems with software support by virtual software environments

Control of energy systems as distributed parameter systems w...

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IEEE Conference on Decision and Control

作者： Gabriel Hulkó Boris Rohal-Ilkiv Pavol Noga Slavomír Lipár Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering (IAMAI-FME-STU) and Center for Control of Distributed Parameter Systems Slovak University of Technology in Bratislava Nám Bratislava Slovakia FME-STU Nám. IAMAI Bratislava Slovakia FME-STU Nám IAMAI Bratislava Slovakia

ISBN: (纸本)9781467320658

Thanks to development of information technology, the so-called virtual software environments offer wide possibilities for the estimation of time-space dynamical characteristics of energy systems, including modeling, control and design of distributed parameter systems. Based on these advances, we present a novel approach to control energy systems as lumped-input and distributed-parameter-output systems. An adaptive-predictive controller is deployed to control temperature fields to ensure optimal conditions for the desulphurization process in a coal-burning fluidized bed furnace, demonstrating the potential of the proposed methodology.

关键词： Aerospace electronics Temperature control Software Process control Fuels Distributed parameter systems

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Experimental Comparison of Online Parameter Identification Schemes for a Nanopositioning Stage with Variable Mass

Experimental Comparison of Online Parameter Identification S...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

作者： Arnfinn Aas Eielsen Tomas Poloni Tor Arne Johansen Jan Tommy Gravdahl Department of Engineering Cybernetics at the Norwegian University of Science and Technology Trondheim Norway Institute of Automation Measurement and Applied Informatics at the Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia

ISBN: (纸本)9781457708381

An experimental comparison of two common parameter identification schemes is presented. The recursive least-squares method and the extended Kalman filter are applied to identify three parameters of a second-order linear mass-spring-damper model, using data obtained from a nanopositioning stage with a highly resonant dynamic response.

关键词： Nanopositioning Parameter identification Extended Kalman filters system parameter Scheme

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Damped one-mode vibration model state and parameter estimation via pre-filtered moving horizon observer

Damped one-mode vibration model state and parameter estimati...

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5th IFAC Symposium on Mechatronic Systems, MECHATRONICS 2010

作者： Polóni, Tomáš Rohal-Ilkiv, Boris Johansen, Tor Arne Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9783902661760

The estimation of parameters and states is one of the core data-processing algorithms used for the monitoring and control of continuum or structured mechatronical systems (e.g., flexible robotic arms and cantilevers). The measurements taken from the sensors combined with an appropriate model can filter the states and extract information about vibration dynamics parameters such as damping and spring constants. This paper presents a method based on the application of a Moving Horizon Observer (MHO) for state and parameter estimation of a lightly-damped vibrating system. A numerical experiment on a single-degree-of-freedom (SDOF) system is performed to demonstrate the method on noisy measurements and to compare the MHO with the benchmark Extended Kalman Filter (EKF). Test scenarios show that the MHO appears to be more robust with respect to modeling errors. © 2010 IFAC.

关键词： Extended Kalman filters

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Damped One-Mode Vibration Model State and Parameter Estimation via Pre-Filtered Moving Horizon Observer

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IFAC Proceedings Volumes 2010年第18期43卷 24-31页

作者： Tomáŝ Polóni Boris Rohal'-Ilkiv Tor Arne Johansen Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Bratislava Slovakia Department of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

关键词： State estimation Damping and spring constant estimation Moving horizon observer Extended Kalman Filter

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In-Pipe Mobile Minimachine and Its Control

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Journal of Energy and Power Engineering 2010年第10期4卷 17-22页

作者： M. Gorzas M. Dovica V. Fedak V. Ivanco Department of Safety and Quality of Production Faculty of Mechanical Engineering Technical University of Kosice Letna 9Kosice 04200 Slovak Republic Department of Biomedical Engineering Automation and Measurement Faculty of Mechanical Engineering Technical Universityof Kosice Letn6 9 Kosice 94200 Slovak Republic Department of Electrical Engineering and Mechatronics Faculty of Electrical Engineering and Informatics Technical Universityof Kosice Letn6 9 Kosice 04200 Slovak Republic Institute of Applied Mechanics and Mechatronics Faculty of 31echanical Engineering Technical University of Kosice Lemd 9Kosice 04200 Slovak Republic

This paper deals with utilization possibility of a kinematical couple of screw-matrix in minimachine mechatronic concept which is assigned to move within the pipes having less than 25 mm of the inner diameter. The principle of the movement for a straightforward motion consists in transformation of the actuator rotary movement through a screw and a nut to the linear motion. It causes a change of distance between the front and rear parts of the minimachine modules. Due to minimization of the dimensions, the electrical control and power supply components are placed outside of the minimachine operating area. The control module is based on a programmable integrated circuit （PIC）.

关键词： Control motion control in-pipe minimachine.

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Uncertainty analysis and robust control of temperature fields of casting mould as distributed parameter systems

Uncertainty analysis and robust control of temperature field...

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作者： Belavý, C. Hulkó, G. Rohal'-Il'kiv, B. Buček, P. Noga, P. Institute of Automation Measurement and Applied Informatics Slovak University of Technology in Bratislava Faculty of Mechanical Engineering Nám. Slobody 17 81231 Bratislava Slovakia

ISBN: (纸本)9783902661432

In the paper, an uncertainty analysis and simulation of a robust control of temperature fields of the casting mould in the benchmark casting plant are presented. Temperature fields are supposed as distributed parameter systems with dynamic models in the form of lumped-input/distributed-output system. For this representation, uncertainty of the controlled system was considered and robust control synthesis with internal model control structure was designed. Simulation of the robust control of the temperature field in the casting mould was carried out using the Distributed Parameter Systems Blockset for MATLAB & Simulink - Third-party MathWorks product. © 2009 IFAC.

关键词： Uncertainty analysis

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Robust control of temperature fields of casting mould as distributed parameter system 10

Robust control of temperature fields of casting mould as dis...

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2009 10th European Control Conference, ECC 2009

作者： Belavy, C. Bucek, P. Noga, P. Hulko, G. Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Nám. Slobody 17 Bratislava81 231 Slovakia

ISBN: (纸本)9783952417393

In the paper, a robust control of temperature fields of the casting mould in the benchmark casting plant is presented. Temperature fields are represented as distributed parameter systems with dynamic models in the form of lumped-input/distributed-output system. This representation enables decomposition of control synthesis problem to time domain and space domain tasks. Control synthesis in the space domain is solved as an approximation problem. In time domain, it is possible to apply various control synthesis methods established well for lumped parameter systems. For robust control synthesis with internal model control structure, model uncertainty of the controlled system was considered. Simulation analysis of the robust control of the temperature field in the casting mould was carried out using the Distributed Parameter Systems Blockset for MATLAB & Simulink - Third-party MathWorks product. © 2009 EUCA.

关键词： Uncertainty analysis

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Engineering methods and software support for modeling and design of discrete-time control of distributed parameter systems 10

Engineering methods and software support for modeling and de...

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2009 10th European Control Conference, ECC 2009

作者： Hulko, G. Belavy, C. Meszaros, A. Bucek, P. Ondrejkovic, K. Zajicek, P. Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology Nám. Slobody 17 Bratislava812 31 Slovakia Institute of Information Engineering Automation and Mathematics Faculty of Chemical and Food Technology Slovak University of Technology Nám. Slobody 17 Bratislava812 31 Slovakia

ISBN: (纸本)9783952417393

In this mini-tutorial some advanced engineering methods are presented for modeling and design of discrete-time control of distributed parameter systems described for control purposes by numerical structures over complex-shape 3D definition domains along with the software package Distributed Parameter Systems Blockset for MATLAB & Simulink - Third-Party MathWorks product, inspired by the boom of numerical analysis of dynamics of machines and processes within engineering practice. The techniques offered are completed by a user-friendly web service tool, suitable for interactive solution of model control problems of distributed parameter systems via the Internet. © 2009 EUCA.

关键词： Web services

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Robust control of temperature fields of casting mould as distributed parameter system

Robust control of temperature fields of casting mould as dis...

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European Control Conference (ECC)

作者： C. Belavý P. Buček P. Noga G. Hulkó Institute of Automation Measurement and Applied Informatics Faculty of Mechanical Engineering Slovak University of Technology in Bratislava Bratislava Slovak Republic

关键词： Decision support systems Europe Robust control Temperature control Casting Distributed parameter systems

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