Article Review Procedure
Academic Areas and Subjects
Applied Aspects of Information Technology
Search by article
Vol. 4 № 1
Vol. 3 № 1
Vol. 3 № 2
Vol. 3 № 3
Vol. 3 № 4
Vol. 2 № 1
Vol. 2 № 2
Vol. 2 № 3
Vol. 2 № 4
Vol. 1 № 1
18 Feb 2021
26 Feb 2020
Informatics, Culture and Technology
20 May 2019
Informatics, Culture and Technology
INFORMATION SYSTEM OF MINIMIZATION CONSUMPTION REACTIVE POWER IN ASYNCHRONOUS ELECTRIC DRIVE WITH VECTOR CONTROL
It is known that the energy performance of asynchronous electric drives is extreme nature. However, when stabilizing the magnetic flux of the asynchronous machine at the nominal level and reducing the load moment on the shaft, the power factor becomes less than the nominal, and this reduction can be significant. Therefore, the paper proposes to improve the energy performance of asynchronous electric drives with a fan mechanical characteristic of the production mechanism by changing the magnetic flux as a function of the moment of resistance forces on the shaft of the asynchronous machine. Thus, to optimize the energy processes in the electric drive when regulating the performance of turbomechanisms, it is necessary to build a system with independent speed control and magnetic flux of an asynchronous machine. Since the control systems of turbomechanisms are designed to stabilize the speed in long-term operation, it is first necessary to ensure the maximum energy performance in steady-state operation. In this work, the increase in energy efficiency is achieved by implementing a vector field-oriented control system of an asynchronous machine with the addition of an extreme control circuit. In the article the information system of two-channel vector control of the asynchronous electric drive with the fan moment of loading which contains a contour of extreme regulation on criterion of a minimum of consumption of reactive power is developed. The dependence of the values of the magnetic flux of the rotor, which are extreme for the reactive power function, mainly on the moment of loading and insignificant on the speed, is substantiated. A synthesized state observer, which estimates the moment of static load, is needed to determine the extreme values of the magnetic flux of the rotor on the basis of the obtained functional dependence. Thus, the idea is to use the reactive power channel of an asynchronous machine not to stabilize the magnetic flux, as was the case in classical vector control systems, but to adjust the modulus of the magnetic flux vector as a function of static load by the minimum stator reactive power. A mathematical model in the Matlab/Simulink environment has been developed and the efficiency of the synthesized information system of minimization of reactive power consumption by an asynchronous electric drive with vector control has been confirmed by mathematical modeling.
( email@example.com )
, Cand. of Tehn. Sciences, Professor
( firstname.lastname@example.org )
, Dr. of Tech. Sciences, Professor
( email@example.com )
, Cand. of Tehn. Sciences, Professor
( firstname.lastname@example.org )
asynchronous machine; vector orientation; objective function; control law; state observer; functional converter; reactive power; functional scheme of information system
1. Mahdavi Tabatabaei, N., Jafari Aghbolaghi, A., Bizon, N. & Blaabjerg, F. (2017). “Reactive Power Control in AC Power Systems”, Springer International Publishing, 634 p.
2. Singh, S. N., Wen, F. & Jain, M. (2019). “Advances in System Optimization and Control. Select Proceedings of ICAEDC 2017”, Springer International Publishing, Singapore, 268 p.
3. Slastikov, S. V. (2014). “Obzor algoritmov upravleniya asinhronnymi elektroprivodami” [Overview of control algorithms for asynchronous electric drives], Materials of the III International Scientific Conference “Technical Sciences in Russia and Abroad”, pp. 57-61 (in Russian).
4. Zhou, X., Ma, Y., Gao, Z. & Zhang, S. (2017). “Reactive power compensation in motor”, 2017 IEEE International Conference on Mechatronics and Automation (ICMA), Takamatsu, Japan. DOI:10.1109/ICMA.2017.8015831.
5. Chang, Y., Huang, W., Yuan, Y., Wu, M. & Wang, S. (2013). “Research on Reactive Power Compensation Issues in Process of Motor Soft Start’, International Journal of Digital Content Technology and its Applications, 7(7), pp. 136-144.
6. Popovych, M. G. & Lozynskiy, O. Yu. (2005). “Elektromehanichni systemy avtomatychnogo keruvannya ta elektropryvody” [Electromechanical automatic control systems and electric drives], Kyiv, Ukraine, Lybid, 680 p. (in Ukrainian).
7. Famouri, P. & Cathey, J. J. (1991). “Loss minimization control of an induction motor drive”, IEEE Transactions on Industry Applications, Vol. 27, No. 1, pp. 32-37.
8. Nihad, M. A. & Ammar, S. M. (2019). “Evaluation of Vector-Controlled Asynchronous Machines”, Iraqi Journal of Computers, Communication and Control & Systems Engineering, Vol. 19, No. 1, pp. 20-26.
9. Klyuyev, O. V. (2011). “Energeticheskie harakteristiki asinhronnogo elektroprivoda s dvuhkanal’noy sistemoy upravleniya” [Energy characteristics of an asynchronous electric drive with a twochannel control system], Proceedings of the Dniprodzerzynsk State Technical University, Vol. 17, pp. 174-181 (in Russian).
10. Ma, W. & Bai, L. (2017). “Energysaving Principles and Technologies for Induction Motors”, 224 p.
11. Sarhan, H. (2014). ”Efficiency optimization of vector-controlled induction motor drive”, International Journal of Advances in Engineering & Technology, pp. 666-674.
12. Polyakov, V. N. & Shreyner R. T. (2017). “Energoeffektivnyye rezhimy dvigateley peremennogo toka v sistemah chastotnogo upravleniya” [Energy-efficient modes of AC motors in frequency control systems], Yekaterinburg, Russian Federation, Department of Electric Drives and Industrial Installations Automation, Ural Power Engineering Institute, 256 p. (in Russian)
13. Borisevich, A. (2015). “Numerical method for power losses minimization of vector-controlled induction motor”, International Journal of Power Electronics and Drive System (IJPEDS), Vol. 6, No. 3, pp. 486-497.
14. Pryymak, B. I. (2005). “Algorytm keruvannya potokom dlya optymizatsii vtrat potuzhnosti v asynhronniy mashyni” [Flow control algorithm to optimize power loss in an asynchronous machine], Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine, Vol. 6, pp. 48-52 (in Ukrainian).
15. Klyuyev, O. V. & Sadovoi, O. V. (2005). “Asinhronnyy ventil’nyy kaskad kak obyekt ekstremal’nogo upravleniya” [Asynchronous valve cascade as an object of extreme control], Materials of International Scientific and Technical Conference “Forum of Mining Engineers – 2005”, Vol. 2. pp. 212-225 (in Russian).
16. Sreejeth, M., Singh, M. & Kumar, P. (2012). “Efficiency optimization of vector controlled induction motor drive”, 38th Annual Conference on IEEE Industrial Electronics Society (IECON), pp. 1746-1753.
17. Robyns, B., Francois, B., Degobert, P. & Hautier, J. P. (2012). “Vector Control of Induction Machines”, Springer Science & Business Media, 222 p.
18. Zhu, Y., Han, F., Zhao, K. & Zhao, J. (2020). “Design of AC Motor Efficiency Optimization Control System”, In book: Big Data Analytics for Cyber-Physical System in Smart City, pp.1989- 1995. DOI: 10.1007/978-981-15-2568-1_277.
19. Klyuyev, O. V., Sadovoi, O. V. & Sohina, Yu. V. (2018). Systemy keruvannya asynhronnymy ventylnymy kaskadamy [Control Systems for Asynchronous Valve Cascades], Kamianske, Ukraine, Dnipro State Technical University, 294 p. (in Ukrainian).
20. Sadovoi, O. V., Suhinin, B. V., Sokhina, Yu. V. & Derets, O. L. (2011). “Releynyye sistemy optimal’nogo upravleniya elektroprivodami” [Relay optimal control systems for electric drives], Dniprodzerzhynsk, Ukraine, DSTU, 337 p. (in Russian).
21. Aleksandrov, A. G. (1989). “Optimalnyye I adaptivnyye sistemy” [Optimal and adaptive systems], Moskva, Russian Federation, Vysshaia shkola, 263 p. (in Russian).
Received after revision 25.05.2020
Vol. 3 № 2, 2020
11 May 2021
Search by author
Information Systems and Technologies
1. Models and Methods of Information Technology
2. Design of Information Systems and Technologies
3. Mathematical Issues of Information Technologies
4. Innovative Technologies in Education, Culture and art
5. Game Technologies, Augmented and Virtual Reality
6. Theoretical and Applied Issues of Computer Science
7. Project, Program and Portfolio Management
Digital control of Technical and Social Systems
1. Adaptive and optimal Control Systems
2. Parametric and System Identification
3. Interconnected Systems and Systems with Distributed Parameter
4. Renewable Energy Systems
5. Machine Learning and Artificial Intelligence in General Technical Problems and Electromechanics
6. Management of Production and Power Plants
7. Control Systems for Robotic Systems and Complexes, Electric Vehicles
8. Diagnosis and Evaluation of Complex Systems
9. Simulation of Physical Objects and Processes
Sensor less Control Systems
Software Engineering and Systems Analysis
1. Methods and Means of Intellectual Information Processing
2. Recognition, Decision Making, Forecasting
3. Neural Network Technologies and Machine Learning Methods
4. Semantic Models. Natural Language Processing
5. Theoretical and Applied Issues of Software Engineering
6. Models and Methods of Software Quality Management
Computer Systems and Cybersecurity
1. Parallel and Distributed Information Processing
2. Internet of Things
3. Information Security and Cybersecurity
4. Computer Networks and Systems
5. Components of Robotic Systems
KarelWintersky ] [
[ © Odessa National Polytechnic University, 2018.]