Research On Multidisciplinary Design Optimization Of Remote Sensing Satellite Based On MBSE

Conceptual demonstration and scheme design are important stages in the design process of spacecraft systems.Under the premise of high reusability of subsystems and component,the selection is often based on the subjective experience of the overall designer.There is not too much attention to the analysis and acquisition of requirements,and the innovation points of disruptive design often appear in the requirements analysis stage,and product manufacturing is not involved in this stage.The cost of innovation is low.The traditional document-based design has many problems.Such as uncontrolled version,difficulty in changing and cumbersome information search.With the continuous improvement of technical requirements for spacecraft,traditional design methods have shown difficulties in innovation,inadequate design quality and efficiency,and it is difficult for overall design optimization to find satisfactory engineering optimal solutions.In response to the above problems,this paper takes the remote sensing satellite model research and development task as the research object and works from two aspects: model-based systems engineering(MBSE)and multidisciplinary design optimization(MDO)technologies.A multidisciplinary design optimization method based on Sys ML is introduced.The main work content is as follows.(1)This paper gives a brief overview of the theoretical development of MBSE and MDO,especially the research status of the two in the aerospace field.Further clarified the innovative content of this paper,using the MBSE model as an intermediate data model for the multidisciplinary design optimization of the overall satellite design.(2)Sys ML is used to model the subsystems and components of remote sensing satellites from the four dimensions of requirements,behaviors,structure,and parameters.The model integrates design information into the same data model.Starting from the stakeholders of the remote sensing satellite mission,the research identifies user requirements,system requirements,and physical requirements.The author establishes seven basic use cases for the satellite,and decomposes the corresponding ten functions for logical and physical architecture modeling.(3)The research establishes a three-level index system of overall efficiency index,performance index and technical performance index on the basis of the system model.It realizes the mapping of user requirements to the performance parameters of the system realization end.Then,relying on the parameter diagram in the system model,the design variables,constraints,and optimization objective functions of the multidisciplinary optimization problem are defined.Finally,the track,payload,power source and quality disciplines are analyzed.Laid the foundation for the subsequent multi-disciplinary design and optimization of satellite parameters.(4)Based on the research of collaborative optimization(CO)algorithm and genetic algorithm(GA)related to multidisciplinary optimization,the research on satellite multidisciplinary optimization model was carried out.First of all,in order to solve the problem of nonlinearity and coupling between disciplines in the standard CO algorithm solution process,genetic algorithm is introduced into the system-level and discipline-level models.Then,a co-evolutionary algorithm based on Sys ML is proposed by combining the system model.The effectiveness of the method is verified through reducer engineering and numerical examples.Finally,the cooperative optimization model of satellite parameters is solved through the joint simulation of CSM and Matlab.The results show that it is efficient and feasible to apply the Sys ML-CEA method in the conceptual design stage,which provides a reference for the optimization design of other complex projects.