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Ontology Modeling Of Guidance And Attitude Control System For Launch Vehicles

Posted on:2019-05-19Degree:MasterType:Thesis
Country:ChinaCandidate:X H CaoFull Text:PDF
GTID:2382330596960827Subject:Control theory and control engineering
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At present,the fields of space exploration in various countries are developing rapidly,and the researchers' eyes are gradually being obtained for the rapid development of launch vehicles.During the design of launch vehicles,much of the existing knowledge has not been effectively managed and fully utilized.Therefore,it is of great importance to develop the representation of launch vehicle design knowledge,to manage and reuse the system to shorten the design cycle.In order to make launch vehicles design and manufacturing related researchers more quickly and directly acquire the design and manufacturing knowledge of related fields and organize and fully recycle knowledge in their respective fields so as to shorten the design cycle of launch vehicles,ontology is used to model the design knowledge of launch vehicle guidance and attitude control system.For the ontology modeling of guidance and attitude control system of launch vehicle,firstly,based on the relevant theoretical research of guidance control system of launch vehicle and attitude control system of launch vehicle,a relatively complete guidance and attitude control system of launch vehicle using owl ontology language is established.For the launch vehicle guidance and attitude control system modeling,separately from the guidance control system and attitude control system to start.The establishment of the guidance control system model is mainly to realize the determination of the state information such as the real-time position of the launch vehicle,and to realize the guidance control so as to ensure that the launch vehicle can enter the orbit while reducing the tracking error as much as possible.Attitude control system requires controller adjustment to ensure the stability of attitude system.For ontology modeling,a top-down approach is used.Considering the huge system of conceptual knowledge of launch vehicle control systems.First of all,it is necessary to determine the domain of launch guidance and attitude control systems,define concept sets,and determine the hierarchy of ontology classes.In the process of defining concept sets,the concept classes need to be deduced,grouped and defined concepts in order to ensure the uniqueness and structure of the concepts.After the concept set of ontology class is confirmed,the relationship attributes between ontology guidance and attitude control system of launch vehicle and ontology data attributes are described.Relationship attributes are the relationshipsbetween ontology classes defined in addition to the parent-child relationship.Data attributes define the calculation parameters used in modeling the guidance and attitude control systems.The definition of relational attributes and data attributes enhances the association between ontology classes and helps deepen the understanding of concept sets.Among them,the attitude controller inference implementation also carried out the ontology representation,which has an important role for quickly adjusting the controller parameters.Finally,we need to test the already established ontology classes of guidance and attitude control system of launch vehicle and constantly modify the model to enrich the model content and update the new technology in time.After the ontology model is established,the Protégé ontology modeling tool is used to formally display the ontology model.At the same time,the ontology model is stored as the owl file,and the owl file is used for the subsequent retrieval and inference of the ontology model.Finally,the actual design case and data are used to test the platform-based launch vehicle guidance and attitude control system management platform.The results show that the ontology-based launch vehicle guidance and attitude control system management platform is working well.
Keywords/Search Tags:Launch vehicle, Guidance, Attitude control, Ontology, Protégé
PDF Full Text Request
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