Turbojet Engines

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Rudolf Andoga - One of the best experts on this subject based on the ideXlab platform.

  • simulation aspects of adaptive control design for small Turbojet Engines
    International Conference on Intelligent Engineering Systems, 2019
    Co-Authors: L Fozo, Rudolf Andoga, Karoly Beneda, Michal Schreiner, Michal Hovanec, Peter Korba
    Abstract:

    Adaptive control is one of the possible methodologies aimed to increase the efficiency of controlled operation of complex systems. Highly theoretical approaches are often presented in design of adaptive control algorithms. The article is aimed at practical aspects of adaptive controller design for a class of small Turbojet Engines. Such Engines can be modeled as non-linear complex systems operating in a broad range of environmental parameters as presented in the article. The designed triple loop control architecture shows increased precision of control keeping acceleration schedule of the simulated engine and is not susceptible to outer disturbances. This approach can also be used for other classes of Turbojet Engines as well other similar technical systems

  • robust control of small Turbojet Engines
    Machines, 2019
    Co-Authors: Rudolf Andoga, Ladislav Főző, Radovan Kovacs, Karoly Beneda, Tomas Moravec, Michal Schreiner
    Abstract:

    Modern Turbojet Engines mainly use computerized digital engine control systems. This opens the way for application of advanced algorithms aimed at increasing their operational efficiency and safety. The theory of robust control is a set of methods known for good results in complex control tasks, making them ideal candidates for application in the current Turbojet engine control units. Different methodologies in the design of robust controllers, utilizing a small Turbojet engine with variable exhaust nozzle designated as iSTC-21v, were therefore investigated in the article. The resulting controllers were evaluated for efficiency in laboratory conditions. The aim was to find a suitable approach and design method for robust controllers, taking into account the limitations and specifics of a real Turbojet engine and its hardware, contrary to most studies which have used only simulated environments. The article shows the most effective approach in the design of robust controllers and the resulting speed controllers for a class of small Turbojet Engines, which can be applied in a discrete digital control environment.

  • intelligent situational control of small Turbojet Engines
    International Journal of Aerospace Engineering, 2018
    Co-Authors: Rudolf Andoga, Ladislav Főző, J Judicak, Robert Breda, Stanislav Szabo, Robert Rozenberg, Milan Džunda
    Abstract:

    Improvements in reliability, safety, and operational efficiency of aeroEngines can be brought in a cost-effective way using advanced control concepts, thus requiring only software updates of their digital control systems. The article presents a comprehensive approach in modular control system design suitable for small gas turbine Engines. The control system is based on the methodology of situational control; this means control of the engine under all operational situations including atypical ones, also integrating a diagnostic system, which is usually a separate module. The resulting concept has been evaluated in real-world laboratory conditions using a unique design of small Turbojet engine iSTC-21v as well as a state-of-the-art small Turbojet engine TJ-100. Our results show that such advanced control system can bring operational quality of an engine with old turbocompressor core iSTC-21v on par with state-of-the-art Engines.

  • effect of operating point selection on non linear experimental identification of istc 21v and tkt 1 small Turbojet Engines
    Periodica Polytechnica Transportation Engineering, 2017
    Co-Authors: Ladislav Főző, Rudolf Andoga, Karoly Beneda, Jan Kolesar
    Abstract:

    Precise dynamic mathematical models of complex systems are important in control and diagnostic systems design and allow testing a complex system in virtual environment at a low cost. They can be also utilized in rapid prototyping using a concept of hardware in the loop. Ever improving methods of experimental identification and using approaches in non-linear approximation can considerably increase the precision of dynamic models of complex systems. The article deals with non-linear approximation of transfer gains of a complex system and evaluates the influence of operational point selection on precision of the resulting model using methods of experimental data driven identification. The object of control is represented by two similar small Turbojet Engines at the Departments of the authors, the iSTC-21v and TKT-1, both based on the same power section having two degrees of freedom: fuel mass flow rate and variable convergent nozzle position.

  • Intelligent Supervisory System for Small Turbojet Engines
    Aspects of Computational Intelligence: Theory and Applications, 2013
    Co-Authors: Rudolf Andoga, Ladislav Madarász, T. Karol, Ladislav Főző, Vladimír Gašpar
    Abstract:

    The paper deals with design of an intelligent supervisory system usable in the area of engineering applications of small Turbojet Engines. Such supervisory system consists of diagnostic and control system applied in different phases of the engine’s operation. In order to design it we need to know the object and its models that will be realized by means of situational modeling concept and neural networks. Diagnostic system will be based on these types of models applied into the majority voting method of online diagnostic. Intelligent supervisory system will also include off-line pre-start diagnostics for such engine with perspective health monitor database.

Ladislav Madarász - One of the best experts on this subject based on the ideXlab platform.

  • innovative approaches in modeling control and diagnostics of small Turbojet Engines
    2013
    Co-Authors: Rudolf Andoga, Ladislav Madarász, Ladislav Főző, Vladimír Gašpar
    Abstract:

    The article presents a survey of research and main results achieved in the Laboratory of intelligent control systems of aircraft Engines during its five years of existence at the Technical university of Kosice celebrating its 60 th anniversary. The main areas of scientific interest and results are presented in the fields of innovative approaches in modeling, control and diagnostics of Turbojet Engines utilizing adaptive and intelligent algorithms. The researched methodologies have been tested and validated on the experimental engine small Turbojet engine MPM-20 in laboratory conditions and selected results are presented in the article.

  • Intelligent Supervisory System for Small Turbojet Engines
    Aspects of Computational Intelligence: Theory and Applications, 2013
    Co-Authors: Rudolf Andoga, Ladislav Madarász, T. Karol, Ladislav Főző, Vladimír Gašpar
    Abstract:

    The paper deals with design of an intelligent supervisory system usable in the area of engineering applications of small Turbojet Engines. Such supervisory system consists of diagnostic and control system applied in different phases of the engine’s operation. In order to design it we need to know the object and its models that will be realized by means of situational modeling concept and neural networks. Diagnostic system will be based on these types of models applied into the majority voting method of online diagnostic. Intelligent supervisory system will also include off-line pre-start diagnostics for such engine with perspective health monitor database.

  • intelligent technologies in modeling and control of Turbojet Engines
    2010
    Co-Authors: Ladislav Madarász, Rudolf Andoga, L Fozo
    Abstract:

    The state of present technologies in technical and also non-technical practice is represented by growing complexity of systems. A Turbojet engine as a complex system is multidimensional highly parametric system with complex dynamics and strong non-linear behavior with stochastic properties. Its particular property is operation in a wide spectrum of changes of its operating environment (e.g., temperatures from -60 to +40 °C, different humidity, different pressures, etc.). If we want to secure optimal function of such system, it is necessary to develop models and control systems implementing the newest knowledge from the areas of automation, control technologies preferably with elements of artificial intelligence (AI). The present control systems and dynamic models are often limited to control or modeling of a complex system in its certain (operational) states. However, in practice the Turbojet engine finds itself in very different operating conditions that influence its parameters of operation and characteristics. To create progressive control algorithms for a Turbojet engine, it is necessary to design models in the whole dynamic spectrum of the modeled system including its erroneous states. Furthermore we need to design a control system that will secure operation converging towards optimality in all eventual states of working environment and also inner states of the system represented by its parameters. This leads to the need of having increased intelligence of control of Turbojet Engines that reduces workload of a pilot and also increases safety of operation. Safety represents a decisive factor in design of control systems of Turbojet Engines and is presently bound with increasing authority of them. The present trend designates such control systems as FADEC – Full Authority Digital Engine Control, however in reality such control systems have different levels of authority, intelligence and come in very different implementations. These are often not presented as they are intellectual properties of commercial companies. The article will be aimed on description of some present trends in development of FADEC systems and own proposals of methodologies leading towards design and implementation of a FADEC system with high level of intelligence able to solve all operational situations of a Turbojet engine. This is strictly bound with presentation of modern methods of modeling of Turbojet Engines and the use of advanced methods of mainly sub-symbolic artificial intelligence. The proposed methods are all tested in real-world environment using a small Turbojet engine MPM-20 in our laboratory setup. Therefore the article will also deal with approaches in digital real-time measurement of state parameters of this engine and design of control algorithms from engineering standpoint.

  • advanced methods of Turbojet Engines control
    International Symposium on Applied Machine Intelligence and Informatics, 2010
    Co-Authors: Rudolf Andoga, Ladislav Madarász, L Fozo, J Judicak
    Abstract:

    The article deals with modern concepts of control systems used in Turbojet Engines. We specifically aim on description of control systems using methods and concepts of artificial intelligence, which can bring a new quality in terms of operation and safety of Turbojet Engines' operation. We also propose a design of intelligent control system for small Turbojet engine MPM-20 within the scope of methodology of situational control together with exploration of macro and micro situations concepts.

  • progressive methods in the area of Turbojet Engines control systems
    2010
    Co-Authors: Rudolf Andoga, Ladislav Madarász
    Abstract:

    The article deals with modern concepts of control systems used in Turbojet Engines. We specifically aim on description of control systems using methods and concepts of artificial intelligence, which can bring a new quality in terms of operation and safety of Turbojet Engines' operation. We also propose a design of intelligent control system for small Turbojet engine MPM-20 within the scope of methodology of situational control together with exploration of macro and micro situations concepts.

Ladislav Főző - One of the best experts on this subject based on the ideXlab platform.

  • robust control of small Turbojet Engines
    Machines, 2019
    Co-Authors: Rudolf Andoga, Ladislav Főző, Radovan Kovacs, Karoly Beneda, Tomas Moravec, Michal Schreiner
    Abstract:

    Modern Turbojet Engines mainly use computerized digital engine control systems. This opens the way for application of advanced algorithms aimed at increasing their operational efficiency and safety. The theory of robust control is a set of methods known for good results in complex control tasks, making them ideal candidates for application in the current Turbojet engine control units. Different methodologies in the design of robust controllers, utilizing a small Turbojet engine with variable exhaust nozzle designated as iSTC-21v, were therefore investigated in the article. The resulting controllers were evaluated for efficiency in laboratory conditions. The aim was to find a suitable approach and design method for robust controllers, taking into account the limitations and specifics of a real Turbojet engine and its hardware, contrary to most studies which have used only simulated environments. The article shows the most effective approach in the design of robust controllers and the resulting speed controllers for a class of small Turbojet Engines, which can be applied in a discrete digital control environment.

  • intelligent situational control of small Turbojet Engines
    International Journal of Aerospace Engineering, 2018
    Co-Authors: Rudolf Andoga, Ladislav Főző, J Judicak, Robert Breda, Stanislav Szabo, Robert Rozenberg, Milan Džunda
    Abstract:

    Improvements in reliability, safety, and operational efficiency of aeroEngines can be brought in a cost-effective way using advanced control concepts, thus requiring only software updates of their digital control systems. The article presents a comprehensive approach in modular control system design suitable for small gas turbine Engines. The control system is based on the methodology of situational control; this means control of the engine under all operational situations including atypical ones, also integrating a diagnostic system, which is usually a separate module. The resulting concept has been evaluated in real-world laboratory conditions using a unique design of small Turbojet engine iSTC-21v as well as a state-of-the-art small Turbojet engine TJ-100. Our results show that such advanced control system can bring operational quality of an engine with old turbocompressor core iSTC-21v on par with state-of-the-art Engines.

  • effect of operating point selection on non linear experimental identification of istc 21v and tkt 1 small Turbojet Engines
    Periodica Polytechnica Transportation Engineering, 2017
    Co-Authors: Ladislav Főző, Rudolf Andoga, Karoly Beneda, Jan Kolesar
    Abstract:

    Precise dynamic mathematical models of complex systems are important in control and diagnostic systems design and allow testing a complex system in virtual environment at a low cost. They can be also utilized in rapid prototyping using a concept of hardware in the loop. Ever improving methods of experimental identification and using approaches in non-linear approximation can considerably increase the precision of dynamic models of complex systems. The article deals with non-linear approximation of transfer gains of a complex system and evaluates the influence of operational point selection on precision of the resulting model using methods of experimental data driven identification. The object of control is represented by two similar small Turbojet Engines at the Departments of the authors, the iSTC-21v and TKT-1, both based on the same power section having two degrees of freedom: fuel mass flow rate and variable convergent nozzle position.

  • Intelligent Supervisory System for Small Turbojet Engines
    Aspects of Computational Intelligence: Theory and Applications, 2013
    Co-Authors: Rudolf Andoga, Ladislav Madarász, T. Karol, Ladislav Főző, Vladimír Gašpar
    Abstract:

    The paper deals with design of an intelligent supervisory system usable in the area of engineering applications of small Turbojet Engines. Such supervisory system consists of diagnostic and control system applied in different phases of the engine’s operation. In order to design it we need to know the object and its models that will be realized by means of situational modeling concept and neural networks. Diagnostic system will be based on these types of models applied into the majority voting method of online diagnostic. Intelligent supervisory system will also include off-line pre-start diagnostics for such engine with perspective health monitor database.

  • innovative approaches in modeling control and diagnostics of small Turbojet Engines
    2013
    Co-Authors: Rudolf Andoga, Ladislav Madarász, Ladislav Főző, Vladimír Gašpar
    Abstract:

    The article presents a survey of research and main results achieved in the Laboratory of intelligent control systems of aircraft Engines during its five years of existence at the Technical university of Kosice celebrating its 60 th anniversary. The main areas of scientific interest and results are presented in the fields of innovative approaches in modeling, control and diagnostics of Turbojet Engines utilizing adaptive and intelligent algorithms. The researched methodologies have been tested and validated on the experimental engine small Turbojet engine MPM-20 in laboratory conditions and selected results are presented in the article.

L Fozo - One of the best experts on this subject based on the ideXlab platform.

  • simulation aspects of adaptive control design for small Turbojet Engines
    International Conference on Intelligent Engineering Systems, 2019
    Co-Authors: L Fozo, Rudolf Andoga, Karoly Beneda, Michal Schreiner, Michal Hovanec, Peter Korba
    Abstract:

    Adaptive control is one of the possible methodologies aimed to increase the efficiency of controlled operation of complex systems. Highly theoretical approaches are often presented in design of adaptive control algorithms. The article is aimed at practical aspects of adaptive controller design for a class of small Turbojet Engines. Such Engines can be modeled as non-linear complex systems operating in a broad range of environmental parameters as presented in the article. The designed triple loop control architecture shows increased precision of control keeping acceleration schedule of the simulated engine and is not susceptible to outer disturbances. This approach can also be used for other classes of Turbojet Engines as well other similar technical systems

  • intelligent technologies in modeling and control of Turbojet Engines
    2010
    Co-Authors: Ladislav Madarász, Rudolf Andoga, L Fozo
    Abstract:

    The state of present technologies in technical and also non-technical practice is represented by growing complexity of systems. A Turbojet engine as a complex system is multidimensional highly parametric system with complex dynamics and strong non-linear behavior with stochastic properties. Its particular property is operation in a wide spectrum of changes of its operating environment (e.g., temperatures from -60 to +40 °C, different humidity, different pressures, etc.). If we want to secure optimal function of such system, it is necessary to develop models and control systems implementing the newest knowledge from the areas of automation, control technologies preferably with elements of artificial intelligence (AI). The present control systems and dynamic models are often limited to control or modeling of a complex system in its certain (operational) states. However, in practice the Turbojet engine finds itself in very different operating conditions that influence its parameters of operation and characteristics. To create progressive control algorithms for a Turbojet engine, it is necessary to design models in the whole dynamic spectrum of the modeled system including its erroneous states. Furthermore we need to design a control system that will secure operation converging towards optimality in all eventual states of working environment and also inner states of the system represented by its parameters. This leads to the need of having increased intelligence of control of Turbojet Engines that reduces workload of a pilot and also increases safety of operation. Safety represents a decisive factor in design of control systems of Turbojet Engines and is presently bound with increasing authority of them. The present trend designates such control systems as FADEC – Full Authority Digital Engine Control, however in reality such control systems have different levels of authority, intelligence and come in very different implementations. These are often not presented as they are intellectual properties of commercial companies. The article will be aimed on description of some present trends in development of FADEC systems and own proposals of methodologies leading towards design and implementation of a FADEC system with high level of intelligence able to solve all operational situations of a Turbojet engine. This is strictly bound with presentation of modern methods of modeling of Turbojet Engines and the use of advanced methods of mainly sub-symbolic artificial intelligence. The proposed methods are all tested in real-world environment using a small Turbojet engine MPM-20 in our laboratory setup. Therefore the article will also deal with approaches in digital real-time measurement of state parameters of this engine and design of control algorithms from engineering standpoint.

  • advanced methods of Turbojet Engines control
    International Symposium on Applied Machine Intelligence and Informatics, 2010
    Co-Authors: Rudolf Andoga, Ladislav Madarász, L Fozo, J Judicak
    Abstract:

    The article deals with modern concepts of control systems used in Turbojet Engines. We specifically aim on description of control systems using methods and concepts of artificial intelligence, which can bring a new quality in terms of operation and safety of Turbojet Engines' operation. We also propose a design of intelligent control system for small Turbojet engine MPM-20 within the scope of methodology of situational control together with exploration of macro and micro situations concepts.

  • use of anytime control algorithms in the area of small Turbojet Engines
    International Conference on Computational Cybernetics, 2008
    Co-Authors: Rudolf Andoga, L Fozo, Ladislav Madarász
    Abstract:

    The article deals with basics of modeling of our small experimental Turbojet engine MPM 20 and the following design of a complex situational control system with elements of anytime control algorithms bound with a developed analytical model of the engine. By use of advanced algorithms using methods of artificial intelligence in a robust framework to achieve the aims of reliability and high efficiency, we are trying demonstrate their usability and proficiency in the area of Turbojet Engines. All the tests and data come from measurements on a real object of our experimental small Turbojet engine and are therefore a good step to be used on normal sized Engines.

  • intelligent approaches in modeling and control of a small Turbojet Engines
    International Conference on Intelligent Engineering Systems, 2007
    Co-Authors: Rudolf Andoga, L Fozo, Ladislav Madarász
    Abstract:

    Small Turbojet Engines represent a special class of turbine driven Engines. They are suitable for scientific purposes and research of certain thermodynamic processes ongoing in Turbojet Engines. Moreover such Engines can be used for research in the area of alternative fuels and new methods of digital control and measurement. Our research, which is also presented in this article, is headed toward these aims. We evaluate and propose a system of digital measurement of a particular small Turbojet engine -MPM 20. Such engine can be considered as highly non-linear large scale system. According to obtained data and experiments we propose different model models of the engine and design of situational control algorithms for the engine with use of certain methods of artificial intelligence as new methods of control and modeling of large scale systems.

John Howard Brown - One of the best experts on this subject based on the ideXlab platform.

  • Diffusion of a durable good innovation: The case of high bypass Turbojet Engines
    Review of Industrial Organization, 1995
    Co-Authors: John Howard Brown
    Abstract:

    Jackson and Kaserman (1991) model diffusion of an innovation an investment decision where the time of adoption is motivated by cost-minimization. This paper tests this model, using the adoption by American “major” airlines of jet aircraft embodying high bypass Turbojet engine technology. The results support the Jackson-Kaserman model. The effect of aircraft age has the appropriate and significant sign. Likewise, average stage length measuring relative variable cost performance of the old and new technology is appropriately signed.