Показать сокращенную информацию
dc.contributor.author | Galiullin L. | |
dc.contributor.author | Galiullin I. | |
dc.date.accessioned | 2020-01-21T20:56:01Z | |
dc.date.available | 2020-01-21T20:56:01Z | |
dc.date.issued | 2019 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/157850 | |
dc.description.abstract | © 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. Modeling is one of the main elements of scientific knowledge. In practical activity, the goal of building a model is the solution of some problem of the real world, which is either expensive or impossible to solve by experimenting with a real object. Usually, the initial problem is to analyze an existing or proposed object for making a decision to manage it. When constructing a model as a substitute for a real system, those aspects that are essential for solving the problem are highlighted, and those aspects that complicate the problem are ignored, making the analysis very difficult or even impossible. The problem of analysis is always put in the world of real objects. For a more complete and accurate simulation of the test process, it is necessary to determine all parameters-such as the mathematical model of the engine, the displacement of the fuel pump rail, the load change. Using the results obtained earlier, the control actions in the system are determined. For this purpose, an imitation chart is shown, which more clearly can confirm the obtained mathematical result. Since the initial parameters are unknown, the control action, i.e., the displacement of the fuel damper rail, is determined from the relationships obtained above. | |
dc.subject | Automatization | |
dc.subject | Engine | |
dc.subject | Network | |
dc.subject | Neural | |
dc.subject | System | |
dc.subject | Tests | |
dc.title | Modeling of ic engines | |
dc.type | Article | |
dc.relation.ispartofseries-issue | 8 Special Issue | |
dc.relation.ispartofseries-volume | 11 | |
dc.collection | Публикации сотрудников КФУ | |
dc.relation.startpage | 425 | |
dc.source.id | SCOPUS-2019-11-8-SID85070893002 |