{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:17:17Z","timestamp":1766269037874,"version":"3.38.0"},"reference-count":25,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T00:00:00Z","timestamp":1610150400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["51906102"],"award-info":[{"award-number":["51906102"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering"],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p> The modern advanced aero-engine control methods are onboard dynamic model\u2013based algorithms. In this article, a novel aero-engine dynamic modeling method based on improved compact propulsion system dynamic model is proposed. The aero-engine model is divided into inlet, core engine, surge margin and nozzle models for establishing sub-model in the compact propulsion system dynamic model. The model of core engine is state variable model. The models of inlet, surge margin and nozzle are nonlinear models which are similar to the component level model. A new scheduling scheme for basepoint control vector, basepoint state vector and basepoint output vector which considers the change of engine total inlet temperature is proposed to improve engine model accuracy especially the steady. The online feedback correction of measurable parameters is adopted to improve the steady and dynamic accuracy of model. The modeling errors of improved compact propulsion system dynamic model remain unchanged when engine total inlet temperature of different conditions are the same or changes small. The model accuracy of compact propulsion system dynamic model, especially the measurable parameters, is improved by online feedback correction. Moreover, the real-time performance of compact propulsion system dynamic model and improved compact propulsion system dynamic model are much better than component level model. <\/jats:p>","DOI":"10.1177\/0959651820984081","type":"journal-article","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T01:06:13Z","timestamp":1610586373000},"page":"1036-1045","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Aero-engine dynamic model based on an improved compact propulsion system dynamic model"],"prefix":"10.1177","volume":"235","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8055-5633","authenticated-orcid":false,"given":"Qiangang","family":"Zheng","sequence":"first","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0868-5465","authenticated-orcid":false,"given":"Yong","family":"Wang","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing, China"}]},{"given":"Chongwen","family":"Jin","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9165-9211","authenticated-orcid":false,"given":"Haibo","family":"Zhang","sequence":"additional","affiliation":[{"name":"Nanjing University of Aeronautics and Astronautics, Jiangsu Province Key Laboratory of Aerospace Power System, Nanjing, China"}]}],"member":"179","published-online":{"date-parts":[[2021,1,9]]},"reference":[{"key":"bibr1-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1080\/00207720600566065"},{"key":"bibr2-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2018.01.034"},{"issue":"4","key":"bibr3-0959651820984081","first-page":"321","volume":"34","author":"Zheng Q","year":"2017","journal-title":"Int J Turbo Jet Engine"},{"key":"bibr4-0959651820984081","doi-asserted-by":"publisher","DOI":"10.3103\/S1068799816010128"},{"key":"bibr5-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1177\/0959651819878527"},{"key":"bibr6-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-3796-2"},{"first-page":"135","volume-title":"2016 IEEE international conference on aircraft utility systems (AUS)","author":"Yuan M","key":"bibr7-0959651820984081"},{"first-page":"507","volume-title":"2017 international conference on military technologies (ICMT)","author":"Kissz\u00f6lgy\u00e9mi I","key":"bibr8-0959651820984081"},{"key":"bibr9-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1177\/0959651816633352"},{"key":"bibr10-0959651820984081","doi-asserted-by":"publisher","DOI":"10.3103\/S106879980801008X"},{"key":"bibr11-0959651820984081","doi-asserted-by":"publisher","DOI":"10.1177\/0959651819852477"},{"volume-title":"2003 IEEE Aerospace Conference Proceedings (Cat. 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