{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T02:58:27Z","timestamp":1760151507645,"version":"build-2065373602"},"reference-count":15,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,3,14]],"date-time":"2022-03-14T00:00:00Z","timestamp":1647216000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Grants Council of the President of the Russian Federation","award":["MD-1787.2022.4"],"award-info":[{"award-number":["MD-1787.2022.4"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>The scope of this research is to develop a hyperstable adaptive control system of a direct current (DC) drive speed for effective load torque attenuation. The proposed speed controller is based on the model reference adaptive control framework and integrated into the conventional DC drive cascade control system. Its main features are as follows: (1) the boundedness of the control action signal, as well as the armature current control loop non-stationarities, are taken into consideration with the help of the reference model hedging technique; (2) its inputs include only measurable signals, thus there is no need to use any kind of state estimators; (3) it attenuates the disturbances, which are matched with its control action signal, particularly, the inertia moment non-stationarity and load torque. The asymptotic hyperstability of the obtained DC drive control system is proven with the help of Lyapunov\u2019s theorems and Popov\u2019s criterion. The numerical experiments corroborate the obtained results. They include the demonstration of disadvantages of the conventional cascade control system under conditions of the drive parameters\u2019 non-stationarity and advantages of the proposed solution for different disturbance types and amplitudes.<\/jats:p>","DOI":"10.3390\/computation10030040","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T03:06:10Z","timestamp":1647313570000},"page":"40","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["DC Drive Adaptive Speed Controller Based on Hyperstability Theory"],"prefix":"10.3390","volume":"10","author":[{"given":"Anton","family":"Glushchenko","sequence":"first","affiliation":[{"name":"V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 117997 Moscow, Russia"}]},{"given":"Konstantin","family":"Lastochkin","sequence":"additional","affiliation":[{"name":"V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, 117997 Moscow, Russia"}]},{"given":"Vladislav","family":"Petrov","sequence":"additional","affiliation":[{"name":"A.A. Ugarov Stary Oskol Technological Institute (Branch), National University of Science and Technology \u201cMISIS\u201d, 309516 Stary Oskol, Russia"}]}],"member":"1968","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"key":"ref_1","unstructured":"Leonard, W. (2001). Control of Electrical Drives, Springer Science & Business Media. [3rd ed.]."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"877","DOI":"10.1016\/j.rser.2009.10.018","article-title":"A review on electrical motors energy use and energy savings","volume":"14","author":"Saidur","year":"2010","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_3","unstructured":"Bortsov, Y.A., Polyakhov, N.D., and Putov, V.V. (1984). Electromechanical Systems with Adaptive and Modal Control, Energoatomizdat. (In Russian)."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1109\/28.55967","article-title":"Magnitude and symmetric optimum criterion for the design of linear control systems: What is it and how does it compare with the others?","volume":"26","author":"Umland","year":"1990","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1016\/j.procs.2017.01.121","article-title":"On PI-controller parameters adjustment for rolling mill drive current loop using neural tuner","volume":"103","author":"Eremenko","year":"2017","journal-title":"Procedia Comput. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1142\/S021968671550002X","article-title":"Fuzzy self-tuning PID control of the main drive system for four-high hot rolling mill","volume":"14","author":"Fan","year":"2015","journal-title":"J. Adv. Manuf. Syst."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Glushchenko, A.I., Petrov, V.A., and Lastochkin, K.A. (2020, January 12\u201315). Method Development of Speed Control of DC Drive on Basis of Its Feedback Linearization. Proceedings of the European Control Conference, Saint-Petersburg, Russia.","DOI":"10.23919\/ECC51009.2020.9143839"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Glushchenko, A.I., Petrov, V.A., and Lastochkin, K.A. (2020, January 11\u201313). Reference Model Hedging under Conditions of Bounded Control Action Signal to Implement Adaptive Control of DC Drive. Proceedings of the International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency, Lipetsk, Russia.","DOI":"10.1109\/SUMMA50634.2020.9280578"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1109\/TAC.1969.1099237","article-title":"A hyperstability criterion for model reference adaptive control systems","volume":"14","author":"Landau","year":"1969","journal-title":"IEEE Trans. Autom. Control."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"577","DOI":"10.3166\/ejc.9.577-586","article-title":"Passification of non-square linear systems and feedback Yakubovich-Kalman-Popov lemma","volume":"9","author":"Fradkov","year":"2003","journal-title":"Eur. J. Control."},{"key":"ref_11","first-page":"1769","article-title":"Stability of composite systems with an asymptotically hyperstable subsystem","volume":"44","year":"1969","journal-title":"Int. J. 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Robust Adaptive Control, Courier Corporation."}],"container-title":["Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-3197\/10\/3\/40\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:36:20Z","timestamp":1760135780000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-3197\/10\/3\/40"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,14]]},"references-count":15,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,3]]}},"alternative-id":["computation10030040"],"URL":"https:\/\/doi.org\/10.3390\/computation10030040","relation":{},"ISSN":["2079-3197"],"issn-type":[{"type":"electronic","value":"2079-3197"}],"subject":[],"published":{"date-parts":[[2022,3,14]]}}}