ArticleName |
Development of a control system for an asynchronous electric motor based on an adaptive model in the conditions of sheet rolling production |
ArticleAuthorData |
Novotroitsk Branch of NUST MISIS, Orsk, Russia: A. V. Tsukanov, Student, e-mail: 03-06-2000@mail.ru
2 South Ural State University (National Research University), Chelyabinsk, Russia: K. V. Litsin, Cand. Eng., Associate Professor, e-mail: k.litsin@rambler.ru S. N. Baskov, Cand. Eng., Associate Professor, e-mail: baskovsn@susu.ru |
Abstract |
The current problem of using equipment with asynchronous motors at metallurgical enterprises is considered. A fairly large number of equipment is used in production, where the installation of a speed sensor on the motor shaft is impossible due to operating conditions, technological, economic and other restrictions. Therefore, the actual direction of development of the electric drive is the use of systems with an observer of the speed or angle of the rotor position. A comparative analysis of various sensorless systems in an asynchronous electric drive is carried out. The expediency of using observers in asynchronous motors instead of speed sensors is presented. The general requirements for the sensorless electric drive are formulated. The main advantages and disadvantages of each method are determined. The need to develop a new model that meets all the requirements has been identified. The resulting model is able to indirectly determine the parameters of the machine using only its stator variables, and also capable of operating at low speeds close to zero. Thus, this model has advantages over existing methods. The derivation of the dependence based on the basic model of the electric drive is given. On the basis of the obtained equations, a mathematical model of an asynchronous sensorless electric drive was developed in the Matlab program. A comparative analysis of the results of determining the value of the real and estimated speeds is carried out. The developed system can be used in metallurgical workshops, in particular, in steelmaking facilities that do not require a high level of determination of the angular position. As a result of laboratory experiments, it was required to use an additional system to identify the parameters of an induction motor based on a continuous gradient method for finding the minimum of a function. |
References |
1. Litsin К. V., Tsukanov А. V. Development of an automated electric drive for the control system of a two-coordinate welding machine. Izvestiya vuzov. Chernaya metallurgiya. 2021. Vol. 64. No. 5. pp. 382–388. 2. Doan P. T., Bui T. L., Kim H. K., Kim S. B. Sliding-mode observer design for sensorless vector control of AC induction motor. 9th Asian Control Conference (ASCC). 2013. pp. 1–5. 3. Klyuchev V. I. Theory of the electric drive: tutorial for universities. 2nd edition revised and enlarged. Moscow: Energoatomizdat, 1998. 704 p. 4. Setareh M., Parniani M., Aminifar F. An analytic methodology to determine generators redispatch for proactive damping of critical electromechanical oscillations. International Journal of Electrical Power and Energy Systems. 2020. Vol. 2. pp. 301–304. 5. Sames W. J., List F. A., Pannala S., Dehoff R. R., Babu S. S. The metallurgy and processing science of metal additive manufacturing. International Materials Reviews. 2016. Vol. 61, Iss. 5. pp. 315–360. 6. Vinogradov А., Sibirtsev А., Kolodin I. Adaptive-vector control system of a sensorless asynchronous electric drive of the EPV series. Silovaya elektronika. 2006. No. 3. pp. 46–51. 7. Gong L., Zhu Z. Q. Saliency investigation of PM brushless AC motors for high-frequency carrier signal injection-based sensorless control. The 17th International Conference on Automation and Computing. 2011. pp. 86–91. 8. Xu D., Wang B., Zhang G., Wang G., Yu Y. A review of sensorless control methods for AC motor drives. CES Transactions on Electrical Machines and Systems. 2018. Vol. 2, Iss. 1. pp. 104–115. 9. Yin Z., Gao F., Zhang Y., Du C., Li G., Sun X. A review of nonlinear Kalman filter appling to sensorless control for AC motor drives. CES Transactions on Electrical Machines and Systems. 2019. Vol. 3, Iss. 4. pp. 351–362. 10. Usynin Yu. S., Kozina Т. А.,Valov А. V., Lokhov S. P. Determination of the initial angular position of the rotor in a sensorless system of pulse-vector control of an asynchronous motor with a phase rotor. Vestnik Yuzhno-Uralskogo gosudarstvennogo universiteta. Seriya: Energetika. 2012. No. 17. pp. 111–115. 11. Isakov А. S., Ushakov А. V. Implementation of an observer of states of an induction motor with a squirrel-cage rotor in a sensorless vector control system. Nauchno-tekhnicheskiy vestnik informatsionnykh tekhnologiy, mekhaniki i optiki. 2007. No. 4 (38). pp. 280–286. 12. Tsukanov А. V., Litsin К. V. Review of methods to determine the speed of AC motors. Actual problems of modern science, technology and education. Abstracts of the 79th International Scientific and Technical Conference. Magnitogorsk, 2021 Vol. 1. p. 254. 13. Glazyrin А. S. Sensorless control of an asynchronous electric drive with a synergic controller. Izvestiya Tomskogo politekhnicheskogo universiteta. Energetika. 2012. Vol. 321. No. 4. pp. 107–111. 14. Odnolko D. S. Mathematical simulation modeling of a sensorless vector control system for an asynchronous motor under conditions of parametric disturbances. Sistemny analiz i prikladnaya informatika. 2015. No. 2. pp. 31–35. 15. Baskov S. N., Litsin К. V., Radionov А. А. Determination of the angular position of the rotor of a synchronous motor in the vector-pulse start mode. Vesti vysshikh uchebnykh zavedeniy Chernozemya. 2014. No. 4. pp. 3–8. 16. Mao H., Xiao J. Real-Time Conflict Resolution of Task-Constrained Manipulator Motion in Unforeseen Dynamic Environments. IEEE Transactions on Robotics. 2019. Vol. 35, Iss. 5. pp. 1276–1283. 17. Lysenko О. А. Load torque observer of double squirrel cage induction motor. Omskiy nauchny vestnik. Seriya: Pribory, mashiny i tekhnologii. 2016. No. 5 (149). pp. 85–89. 18. Kuksin А. V., Romanov А. V. Mathematical model of the adaptive-vector control system of a sensorless asynchronous electric drive. Vestnik VGTU. Seriya: Vychislitelnye i informatsionno-telekommunikatsionnye sistemy. 2009. Vol. 5. No. 2. pp. 38–44. 19. Yang J., Hu A., Li Y., Chandra Saha D., Yu Z. Heat input, intermetallic compounds and mechanical properties of Al/steel cold metal transfer joints. Journal of Materials Processing Technology. 2019. Vol. 272. pp. 40–46. 20. Litsin К. V., Gusev А. А., Kovalchuk Т. V. Study of the electric drive of the system for feeding a slag-forming mixture to the mold of a continuous casting machine. Izvestiya vysshikh uchebnykh zavedeniy. Elektromekhanika. 2018. Vol. 61. No. 5. pp. 38–43. 21. Wu Q., Xu W., Zhang L. Machining of particulate-reinforced metal matrix composites: An investigation into the chip formation and subsurface damage. Journal of Materials Processing Technology. 2019. Vol. 274. p. 116315. 22. Fidele M. M. Extraction of tellurium from lead and copper bearing feed materials and interim metallurgical products. Minerals Engineering. 2018. Vol. 115. pp. 79–87. 23. Baskov S. N., Litsin K. V. Determination of the angular position of the rotor of asynchronous motor by connecting a high-frequency signal in the excitation winding. Proceedings of 2015 International Siberian Conference on Control and Communications (SIBCON), 2015. 24. Zhou L., Tokekar P. Sensor Assignment Algorithms to Improve Observability while Tracking Targets. IEEE Transactions on Robotics. 2019. Vol. 35, Iss. 5. pp. 1206–1219. 25. Afanasyev А. Yu., Makarov V. G., Yakovlev Yu. А., Khannanova V. N. Three-phase asynchronous motor parameter identification device. Izvestiya vysshikh uchebnykh zavedeniy. Problemy energetiki. 2015. No. 5–6. pp. 107–119. 26. BoomBox user manual [Electronic access]. Available at: https://imperix.com/wp-content/uploads/2018/06/User-Manual-BoomBox.pdf (access: 01.12.2021). |