Academic literature on the topic 'Multimass electromechanical systems'
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Journal articles on the topic "Multimass electromechanical systems"
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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 12–20. http://dx.doi.org/10.20998/2074-272x.2022.4.02.
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Aim. Development of the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multi-mass systems in various modes. Methodology. The problem of multi objective synthesis of nonlinear robust control of multimass electromechanical systems is formulated and the possibility of satisfying various requirements for the operation of such systems in various modes based on the concept of functionally multiple membership of the state vector and the solution of the Hamilton-Jacobi-Isaacs equation is shown. A method for choosing weight matrices with the help the vector of purpose of nonlinear robust control is formed by solving a zero-sum vector antagonistic game has been substantiated and developed. Results. The results multi objective synthesis of nonlinear robust two-mass electromechanical servo systems in which differences requirements for the operation of such systems in various modes were satisfied are given. Based on the results of modeling and experimental studies it is established, that with the help of synthesized robust nonlinear controllers, it is possible to improve of quality indicators of two-mass electromechanical servo system in comparison with the system with standard regulators. Originality. For the first time the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multimass systems in various modes is developed. Practical value. From the point of view of the practical implementation the possibility of solving the problem of multi objective synthesis of nonlinear robust control systems to satisfy various requirements for the operation of multimass electromechanical systems in various modes is shown.
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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "The method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems." Electrical Engineering & Electromechanics, no. 4 (July 8, 2022): 12–20. https://doi.org/10.20998/2074-272X.2022.4.02.
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<strong><em>Aim.</em></strong><em> Development of the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multi-mass systems in various modes. <strong>Methodology. </strong>The problem of multi objective synthesis of nonlinear robust control of multimass electromechanical systems is formulated and the possibility of satisfying various requirements for the operation of such systems in various modes based on the concept of functionally multiple membership of the state vector and the solution of the Hamilton-Jacobi-Isaacs equation is shown. A method for choosing weight matrices with the help the vector of purpose of nonlinear robust control is formed by solving a zero-sum vector antagonistic game has been substantiated and developed. <strong>Results</strong>. The results multi objective synthesis of nonlinear robust two-mass electromechanical servo systems in which differences requirements for the operation of such systems in various modes were satisfied are given.</em> <em>Based on the results of modeling and experimental studies it is established, that with the help of synthesized robust nonlinear controllers, it is possible to improve</em> <em>of quality indicators of two-mass electromechanical servo system in comparison with the system with standard regulators. <strong>Originality. </strong>For the first time the method of multi objective synthesis of nonlinear robust control by multimass electromechanical systems to satisfy various requirements for the operation of multimass systems in various modes is developed. <strong>Practical value. </strong>From the point of view of the practical implementation the possibility of solving the problem of multi objective synthesis of nonlinear robust control systems to satisfy various requirements for the operation of multimass electromechanical systems in various modes is shown.</em>
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Kuznetsov, B. I., T. B. Nikitina, I. V. Bovdui, O. V. Voloshko, V. V. Kolomiets, and B. B. Kobylianskyi. "The method of multi objective synthesis of stochastic robust control by multimass electromechanical systems under non-gausian random external disturbances." Electrical Engineering & Electromechanics, no. 5 (September 6, 2022): 21–30. http://dx.doi.org/10.20998/2074-272x.2022.5.04.
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Aim. Development of the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances. Methodology. The problem of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances solved based on the choosing of weight matrices in the robust control goal vector.The calculation of the target vector is performed based on the solution of the zero-sum vector antagonistic game. The components of the game payoff vector are variable quality indicators that are applied to the system operation in various modes. The calculation of the components of payoff vector game are performed based on the simulation of the initial system closed by the synthesized stochastic controllers in various operating modes and under various external influences and variations in the parameters of the uncertainty of the initial plant. Results. The results of multi objective synthesis of stochastic robust two-mass electromechanical servo systems modes under non-gausian random external disturbances in which differences requirements for the operation of such systems in various modes were satisfied are given. Based on the results of modeling and experimental studies it is established, that with the help of synthesized robust nonlinear controllers, it is possible to improve of quality indicators of two-mass electromechanical servo system in comparison with the system with standard regulators. Originality. For the first time the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of multimass systems in various modes is developed. Practical value. From the point of view of the practical implementation the possibility of solving the problem of multi objective synthesis of stochastic robust control systems to satisfy various requirements for the operation of multimass electromechanical systems in various modes is shown.
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B., I. Kuznetsov, B. Nikitina T., V. Bovdui I., V. Voloshko O., V. Kolomiets V., and B. Kobylianskyi B. "The method of multi objective synthesis of stochastic robust control by multimass electromechanical systems under non-gausian random external disturbances." Electrical Engineering & Electromechanics, no. 5 (September 7, 2022): 21–30. https://doi.org/10.20998/2074-272X.2022.5.04.
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<strong><em>Aim</em></strong><em>. Development of the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances. <strong>Methodology</strong>. The problem of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of such systems in various modes under non-gausian random external disturbances</em> <em>solved based on the choosing of weight matrices in the robust control goal vector.The calculation of the target vector is performed based on the solution of the zero-sum vector antagonistic game. The components of the game payoff vector are variable quality indicators that are applied to the system operation in various modes. The calculation of the components of payoff vector game are performed based on the simulation of the initial system closed by the synthesized stochastic controllers in various operating modes and under various external influences and variations in the parameters of the uncertainty of the initial plant. <strong>Results</strong>. The results of multi objective synthesis of stochastic robust two-mass electromechanical servo systems modes under non-gausian random external disturbances in which differences requirements for the operation of such systems in various modes were satisfied are given. Based on the results of modeling and experimental studies it is established, that with the help of synthesized robust nonlinear controllers, it is possible to improve of quality indicators of two-mass electromechanical servo system in comparison with the system with standard regulators. <strong>Originality.</strong> For the first time the method of multi objective synthesis of stochastic robust control by multimass electromechanical systems to satisfy various requirements for the operation of multimass systems in various modes is developed<strong>. Practical value</strong>. From the point of view of the practical implementation the possibility of solving the problem of multi objective synthesis of stochastic robust control systems to satisfy various requirements for the operation of multimass electromechanical systems in various modes is shown.</em>
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Gennady, Kaniuk, Vasylets Tetiana, Varfolomiyev Oleksiy, Mezerya Andrey, and Antonenko Nataliia. "Development of neuralnetwork and fuzzy models of multimass electromechanical systems." Eastern-European Journal of Enterprise Technologies 3, no. 2(99) (2019): 51–63. https://doi.org/10.15587/1729-4061.2019.169080.
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The study objective was to construct models of multimass electromechanical systems using neural nets, fuzzy inference systems and hybrid networks by means of MATLAB tools. A model of a system in a form of a neural net or a neuro-fuzzy inference system was constructed on the basis of known input signals and signals measured at the system output. Methods of the theory of artificial neural nets and methods of the fuzzy modeling technology were used in the study. A neural net for solving the problem of identification of the electromechanical systems with complex kinematic connections was synthesized using the Neural Network Toolbox application package of the MATLAB system. A possibility of solving the identification problem using an approximating fuzzy system using the Fuzzy Logic Toolbox package was considered. A hybrid network was synthesized and implemented in a form of an adaptive neuro-fuzzy inference system using the ANFIS editor. Recommendations for choosing parameters that have the most significant effect on identification accuracy when applying the methods under consideration were given. It was shown that the use of neural nets and adaptive neuro-fuzzy inference systems makes it possible to identify systems with accuracy of 2 to 4%. As a result of the conducted studies, efficiency of application of neural nets, fuzzy inference systems and hybrid nets to identification of systems with complex kinematic connections in the presence of "input-output" information was shown. The neural-network, fuzzy and neuro-fuzzy models of two-mass electromechanical systems were synthesized with the use of modern software tools. The considered approach to using artificial intelligence technologies, that is neural nets and fuzzy logic is a promising line of construction of appropriate neural-network and neuro-fuzzy models of technical objects and systems. The study results can be used in synthesis of regulators for the systems with complex kinematic connections to ensure their high performance.
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Kaniuk, Gennady, Tetiana Vasylets, Oleksiy Varfolomiyev, Andrey Mezerya, and Nataliia Antonenko. "Development of neuralnetwork and fuzzy models of multimass electromechanical systems." Eastern-European Journal of Enterprise Technologies 3, no. 2 (99) (2019): 51–63. http://dx.doi.org/10.15587/1729-4061.2019.169080.
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Arkadiev, Victor Yu. "Stability Conditions for Systems of Subordinate Control of Multimass Elastic Electromechanical Systems." Journal of Automation and Information Sciences 31, no. 1-3 (1999): 80–86. http://dx.doi.org/10.1615/jautomatinfscien.v31.i1-3.310.
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Nikitina, T. B. "MULTIOBJECTIVE SYNTHESIS OF ROBUST CONTROL BY MULTIMASS ELECTROMECHANICAL SYSTEMS BASED ON PARETO-OPTIMAL SOLUTION." Electrical Engineering & Electromechanics, no. 1 (February 27, 2015): 29–35. http://dx.doi.org/10.20998/2074-272x.2015.1.06.
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Khomenko, Viktor V., Valery V. Kolomiec, Boris I. Kuznetsov, and Tatyana B. Nikitina. "Multiobjective Stochastic Optimization by Particle Multiswarm of Anisotropic Regulators of Multimass Electromechanical Systems with Parametric Uncertainty." ELECTRICAL AND COMPUTER SYSTEMS 19, no. 95 (2015): 37–40. http://dx.doi.org/10.15276/eltecs.19.95.2015.10.
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Potapenko, E. M., A. E. Kazurova, and A. V. Savranskaya. "Review of works on dynamics of multimass uncertain electromechanical systems carried out in ZNTU electric drive department." Electrical Engineering and Power Engineering, no. 1 (July 22, 2011): 7–10. http://dx.doi.org/10.15588/1607-6761-2011-1-1.
Full textDissertations / Theses on the topic "Multimass electromechanical systems"
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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, Українська інженерно-педагогічна академія, 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22705.
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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016.
У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Багатокритеріальний синтез анізотропійних регуляторів зведено до рішення задачі векторного математичного нелінійного програмування, в якій обчислення векторної цільової функції і обмежень зводиться до ітеративного рішення системи з чотирьох пов'язаних рівнянь Ріккаті, рівняння Ляпунова та обчислення виразу спеціального виду. Удосконалено метод рішення багатокритеріальної задачі математичного програмування на основі багатороєвоі стохастичної мультиагентної оптимізації на основі Парето – оптимальних рішень. Досліджено динамічні характеристики синтезованих багатомасових електромеханічних систем з анізотропійними регуляторами, які синтезовані на основі багатокритеріального підходу. Застосування робастних регуляторів дозволило підвищити швидкодію системи за рахунок скорочення часу першого узгодження в 4,1 разів, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази, системи до зміни параметрів об'єкту керування у порівнянні із системою з типовими регуляторами. Проведено експериментальні дослідження синтезованих систем із анізотропійними регуляторами на стенді стохастичної двомасової електромеханічної системи. Експериментально встановлено, що застосування анізотропійних регуляторів у стенді двомасової електромеханічної системи дозволило скоротити час першого узгодження регулювання швидкості у 2 рази, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази у порівнянні із системою з типовими регуляторами.<br>Thesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016.
The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
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Хоменко, Віктор Віталійович. "Багатокритеріальний синтез систем із анізотропійними регуляторами на основі стохастичної мультиагентної оптимізації". Thesis, НТУ "ХПІ", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/22704.
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Дисертація на здобуття наукового ступеня кандидата технічних наук за спеціальністю 05.13.03 – системи та процеси керування. – Національний технічний університет "Харківський політехнічний інститут", Харків, 2016.
У роботі вирішена науково-практична задача підвищення точності керування багатомасовими електромеханічними системами з невизначеними параметрами на основі багатокритеріального підходу до стохастичних робастних методів. Розроблено метод багатокритеріального синтезу анізотропійних регуляторів для керування багатомасовими електромеханічними системами із параметричною невизначеністю. Багатокритеріальний синтез анізотропійних регуляторів зведено до рішення задачі векторного математичного нелінійного програмування, в якій обчислення векторної цільової функції і обмежень зводиться до ітеративного рішення системи з чотирьох пов'язаних рівнянь Ріккаті, рівняння Ляпунова та обчислення виразу спеціального виду. Удосконалено метод рішення багатокритеріальної задачі математичного програмування на основі багатороєвоі стохастичної мультиагентної оптимізації на основі Парето – оптимальних рішень. Досліджено динамічні характеристики синтезованих багатомасових електромеханічних систем з анізотропійними регуляторами, які синтезовані на основі багатокритеріального підходу. Застосування робастних регуляторів дозволило підвищити швидкодію системи за рахунок скорочення часу першого узгодження в 4,1 разів, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази, системи до зміни параметрів об'єкту керування у порівнянні із системою з типовими регуляторами. Проведено експериментальні дослідження синтезованих систем із анізотропійними регуляторами на стенді стохастичної двомасової електромеханічної системи. Експериментально встановлено, що застосування анізотропійних регуляторів у стенді двомасової електромеханічної системи дозволило скоротити час першого узгодження регулювання швидкості у 2 рази, зменшити помилку регулювання швидкості обертання при випадковій зміні моменту зовнішнього впливу більше ніж у 2 рази у порівнянні із системою з типовими регуляторами.<br>Thesis for scientific degree of candidate of engineering science on speciality 05.13.03 – control systems and processes. – National Technical University "Kharkiv Polytechnic Institute", Kharkiv, 2016.
The thesis is devoted to solving scientific and practice task of increasing the accuracy of control multimass electromechanical systems with uncertain parameters on the basis of multiobjective approach to the synthesis of anisotropic regulators. A method of multiobjective synthesis of anisotropic regulators multimass electromechanical systems, which allows to meet the diverse requirements that apply to the work multimass electromechanical systems in various modes. Multiobjective synthesis of anisotropic regulators reduced to solution the vector nonlinear programming, in which the calculation of the objective function is algo-rithmic in nature, involving multiple solution of algebraic Riccati equations, Lyapunov equations and special expressions for calculating of anisotropy level. Improved method for solving multiobjective programming problem based on a stochastic multi-agent multi swarm optimization based on Pareto-optimal solutions. Investigated the dynamic characteristics of the synthesized multimass electro-mechanical systems with anisotropic regulators are synthesized from multi approach. The results of the comparisons of dynamic characteristics multimass electro-mechanical systems with synthesized anisotropic regulators and controller types. It is proved that the use of synthetic anisotropic regulators allowed to reduce time of the first coordination by 4.1 times, to reduce the error compensation of random external perturbation 2 times and to reduce the system sensitivity to changes of plant parameters compared to a system with standard controllers. Experimental on the stand two-mass electromechanical system found that the use of synthesized anisotropic regulators can reduce time of the first coordination by 2 times, reduce the error speed control for random change of the load torque is 2 times as compared with the system controller types.
Conference papers on the topic "Multimass electromechanical systems"
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Kolesnikov, Artem, Evgeny Glushkin, Pavel Podborsky, and Stefan Winternheimer. "A new method of adaptive predictive control in multimass electromechanical systems with variable parameters." In 2007 European Conference on Power Electronics and Applications. IEEE, 2007. http://dx.doi.org/10.1109/epe.2007.4417630.
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