Research On Uncertainty Multidisciplinary Design Optimization Theory And Application To Satellite System Design

With progression of space technology and development of application requirement, demand for robustness and reliability of satellite is ever-increasing. To enhance satellite design quality, the theory and application of Uncertainty Multidisciplinary Design Optimization (UMDO) is systematically studied in this paper. Based on the research work, a complete set of UMDO theoretical methods is established and applied in the system design optimization problem of a serviceable small satellite.Firstly, the fundamental theory of uncertainty is studied. The basic conceptions of UMDO are expounded. The methods of uncertainty classification and modeling, uncertainty analysis, and equivalent disposal of reliable constraints are comprehensively studied, which establish the technical foundation for uncertainty modeling, management, and analysis in UMDO.Secondly, DOE and approximation modeling are studied. A sequential grouping design method based on optimum Latin hypercube design of experiment is proposed, and an improved sequential approximation modeling method based on sequential grouping design of experiment and Kriging function is put forward. This method can reduce sample number required to construct the approximation model with requested precision, so as to efficiently settle the calculation complexity problem of approximation modeling for complex system.Thirdly, the UMDO procedure is studied. Based on the Concurrent SubSpace Optimization (CSSO) procedure, a strategy of accelerating response surface accuracy based on adding schemes to the database by detection and selecting schemes to construct responsive surface by restriction memory is proposed, and a composite subspace organization method based on game theory is put forward. Based on these improvements, further integrating uncertainty design and optimization method, a Game theory Based Composite SubSpace Uncertainty Optimization (GBCSSUO) procedure is put forward. GBCSSUO can efficiently organize the process of complex system uncertainty design optimization, and mitigate the calculation difficulties, so as to improve the optimization efficiency of UMDO.Finally, the application of UMDO in satellite system design is studied. A serviceable earth observation small satellite is chosen as the study object. According to the serviceable satellite mission requirement, a system scheme is primarily designed. The disciplinary models of the small satellite system design are set up, and uncertainties of the models are analyzed and modeled. GBCSSUO is adopted to integrate and resolve the uncertainty multidisciplinary design optimization problem of the small satellite system design. The optimization result confirms the feasibility and validity of GBCSSUO, and offers a robust and reliable optimum system design scheme of the small satellite.To sum up, UMDO theory is systematically studied and applied to system design optimization problem of a serviceable small satellite. It's beneficial to facilitate the application of UMDO in satellite system design, and establishes a good foundation for improvement of satellite system design quality. Meanwhile the thought of enabling satellite to have the serviceable ability on-orbit is introduced in this paper. The system design of serviceable satellite is primarily studied, which has some reference value for development of our country's research work on serviceable satellite.