Abstract
Identification methods for the dynamic systems are considered with respect to electric drives. It is shown that electric drives are complex electromechanical systems, the mechanical part of which is multimass and contains elements with elastic connections. The features of these systems that require considering the gaps in gear units when solving modeling and identification problems; elasticity arising in the shafts; stiffness change of elastic elements in couplings. It is noted that the identification problem of electric drives is a subproblem of managing the state of electromechanical systems. The basis of methods and algorithms for its solution is a set is information about the performance limits of the electric drive. It is shown that identification of the controlled parameters of the electric drive requires using statistical methods based on the expansion of the pulse transient functions to a series of the orthonormal Laguerre transformed system of functions. The method has been proposed in order to assess the condition of the electric drive during operation. This method involves setting the performance limits as a set of boundary points. A distinctive feature of the method is the high identification accuracy.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Alekseev, A.A., Korablev, Iu.A., Shestopalov, M.Iu.: Identifikatsiia i diagnostika sistem. Akademiia, Moscow (2009). (in Russian)
Saushev, A.V.: Oblasti rabotosposobnosti elektrotekhnicheskikh system. Politekhnika, SPb (2013)
Kuznetsov, N.K., Perelygina, A.Iu., Kononenko, R.V.: Identifikatsiia parametrov i modelirovanie dinamiki trekhmassovoi mekhatronnoi sistemy. Vestnik Irkutskogo gos. tekhnich. un-ta 3(43), 6–12 (2010). (in Russian)
Petrov, V.L.: Identifikatsiia modelei elektromekhanicheskikh sistem s ispolzovaniem s ispolzovaniem spektralnykh metodov analiza v bazisakh nepreryvnykh ortonormirovannykh funktsii. Mekhatronika, avtomatizatsiia, upravlenie 10, 29–36 (2003). (in Russian)
Rodkin, D.I., Romashikhin, Iu.V.: Energeticheskii metod identifikatsii elektromekhanicheskikh ustroistv i system, Izvestiia VUZov i energeticheskikh obieedinenii SNG. Energetika 3, 10–20 (2011). (in Russian)
Saushev, A.V., Troian, D.I.: Identifikatsiia elektroprivodov portovykh peregruzochnykh mashin. Vestnik GUMRF im. adm. Makarova S.O. 5(33), 169–183 (2015). (in Russian)
Nivin, A.E., Saushev, A.V., Shoshmin, V.A.: Sintez ortogonalnykh filtrov pri statisticheskoi identifikatsii dinamicheskikh system. Priborostroenie 10, 5–11 (2013). (in Russian)
Saushev, A.V., Kuznetsov, S.E., Karakayev, A.B.: System approach to ensure performance of marine and coastal electrical systems during operation. IOP Conf. Ser. Earth Environ. Sci. 194(8), 082037. https://doi.org/10.1088/1755-1315/194/8/082037
Saushev, A.V.: Parametricheskii sintez elektrotekhnicheskikh ustroistv i system. GUMRF im. Adm. Makarova, S. O., Saint-Petersburg (2013). (in Russian)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Saushev, A., Antonenko, S., Lakhmenev, A., Monahov, A. (2020). Parametric Identification of Electric Drives Based on Performance Limits. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-19756-8_43
Download citation
DOI: https://doi.org/10.1007/978-3-030-19756-8_43
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-19755-1
Online ISBN: 978-3-030-19756-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)