Pressure blast melting and blow enrichment with oxygen – process intensifiers or an unfounded tribute to traditions
DOI:
https://doi.org/10.31498/2225-6733.51.2025.344825Keywords:
doubly-fed machine, reference model, stator flux linkage vector, adaptation algorithm, characteristic equation, stability criterion, controller parametersAbstract
In the paper well-known equations for a Doubly-Fed Machine (DFM) speed observer are taken. The equations are composed for rotor-side control, similar to an adaptive speed observer with a reference model for squirrel-cage induction machines (IM) with stator-side control. In this case, however, the rotor model is taken as the reference model and the stator model serves as the adaptive one. The structure of the adaptation algorithm is determined based on the conditions of Lyapunov’s second stability theorem. The adaptation function is formed using the stator flux linkage vector and is defined as the vector cross product of the stator flux linkage vector estimates obtained from the reference and adaptive systems. To solve the problem of parametric synthesis of the DFM speed observer, an original method is proposed based on the stability analysis of the linearized observer model via its characteristic equation. The parameters of the PI controller derived from the adaptation function are determined based on the stability analysis of the nonlinear observer, using the coefficients of the first-order approximation characteristic equation. An analytical expression for the stability boundary is obtained in the PI controller parameter plane from the algebraic Hurwitz stability criterion, expressed as an inequality for fixed rotor speeds. Asymptotes of the characteristic equation roots are identified as the integral component tends to infinity. Reasonable lower and upper bounds for these parameters are determined based on the rate at which the real parts of the characteristic roots approach the identified asymptotes. The speed observer is proposed to be used together with a rotor angular position identifier, which acts as a calculator based on corresponding formulas. The functionality of the resulting sensorless relay-vector control system for the DFM is verified through mathematical modeling
References
Клюєв О. В., Садовой О. В., Сохіна Ю. В. Спос-терігач швидкості обертання ротора асинхронного вентильного каскаду. Збірник наукових праць Дніпровського державного технічного університету (технічні науки). 2022. Вип. 1(40). С. 89-99. DOI: https://doi.org/10.31319/2519-2884.40.2022.11.
Клюєв О. В., Садовой О. В., Сохіна Ю. В. Системи керування асинхронними вентильними каскадами: монографія. Кам’янське: ДДТУ, 2018. 294 с. DOI: https://doi.org/10.5281/zenodo.16887109.
Karlovsky P., Lettl J. Application of MRAS algorithm to replace the speed sensor in induction motor drive system. Procedia Engineering. 2017. Vol. 192. Pp. 421-426. DOI: https://doi.org/10.1016/j.proeng.2017.06.073.
Montanari M., Peresada S., Tilli A. Speed-sensorless indirect field-oriented control for induction motors based on high gain speed estimation. Automatica. 2006. Vol. 41, iss. 10. Pp. 1637-1650. DOI: https://doi.org/10.1016/j.automatica.2006.05.021.
Ren X., Wang M., Chen J. Rotor Speed and Rotor Position Estimation Based on MRAS. Proceedings of the 2018 international conference on mechanical, electrical, electronic engineering science (MEEES 2018), Chongqing, China, 26-27 May 2018. Vol. 154. DOI: https://doi.org/10.2991/meees-18.2018.1.
Mousavi Gazafroodi S. M., Dashti A. A Novel MRAS Based Estimator for Speed-Sensorless Induction Motor Drive. Iranian Journal of Electrical and Electronic Engineering. 2014. Vol. 10, no. 4. Pp. 304-313.
Thieli Gabbi S., Hilton Gründling A., Rodrigo Vieira P. Sliding mode MRAS speed observer applied to Permanent Magnet Synchronous Motor with decoupled current control. IECON 2016 – 42nd Annual Conference of the IEEE Industrial Electronics Society, Florence, Italy, 23-26 October 2016. Pp. 2929-2934. DOI: https://doi.org/10.1109/IECON.2016.7793641.
An MRAS speed observer based on dq-axis power winding flux for sensorless control of standalone BDFIGs / A. Ebraheem et al. Journal of advanced industrial technology and application. 2022. Vol. 3, no. 2. Pp. 34-48. DOI: https://doi.org/10.30880/jaita.2022.03.02.005.
Pattnaik M., Kastha D. Reactive power based MRAS observer for speed sensorless control of double output induction generator. 5th International Conference on Industrial and Information Systems, ICIIS 2010, Mangalore, India, 29 July - 01 August 2010. Pp. 556-561. DOI: https://doi.org/10.1109/ICIINFS.2010.5578644.
Ben Regaya C., Zaafouri A., Chaari A. Electric drive control with rotor resistance and rotor speed observers based on fuzzy logic. Mathematical Problems in Engineering. 2014. Article 207826. DOI: http://dx.doi.org/10.1155/2014/207826.
Issaouni S., Boulkroune A., Chekireb H. MRAS speed observer for sensorless adaptive intelligent backstepping controller of induction machines. International Journal of Digital Signals and Smart Systems. 2019. Vol. 3, no. 1. Pp. 121-136. DOI: https://doi.org/10.1504/IJDSSS.2019.10024903.
Giribabu D., Srivastava S. P., Pathak M. K. Modified reference model for rotor flux-based MRAS speed observer using neural network controller. IETE Journal of Research. 2018. Vol. 65. Pp. 1-16. DOI: https://doi.org/10.1080/03772063.2017.1407267.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
The journal «Reporter of the Priazovskyi State Technical University. Section: Technical sciences» is published under the CC BY license (Attribution License).
This license allows for the distribution, editing, modification, and use of the work as a basis for derivative works, even for commercial purposes, provided that proper attribution is given. It is the most flexible of all available licenses and is recommended for maximum dissemination and use of non-restricted materials.
Authors who publish in this journal agree to the following terms:
1. Authors retain the copyright of their work and grant the journal the right of first publication under the terms of the Creative Commons Attribution License (CC BY). This license allows others to freely distribute the published work, provided that proper attribution is given to the original authors and the first publication of the work in this journal is acknowledged.
2. Authors are allowed to enter into separate, additional agreements for non-exclusive distribution of the work in the same form as published in this journal (e.g., depositing it in an institutional repository or including it in a monograph), provided that a reference to the first publication in this journal is maintained.







