Research On Multidisciplinary Design Optimization And Navigation Satellite Constellation Design

The dissertation is about the multidisciplinary design optimization and its application in the navigation satellite constellation design.Collaborative Optimization (CO) is an efective MDO algorithm. The mathematical property of CO and the reasons that cause the computational difficulties in collaborative optimization are analyzed. The result shows that the inconsistency information between disciplinaries is very important in solving the CO problem. The DS modul is constructed to describe the inconsistency information between one disciplinary design and the system expectation, and the DD modul is constructed to describe the inconsistency information between two disciplinary designs. The relation between the two moduls is also analyzed. A relaxed disciplinary consistency constraint based on the DD modul and a penalty function based on the DS modul is proposed. Then the COMI(ColIaborative Optimization Based on Multidisciplinary Inconsistency) algorithm based on the constraint and the penalty function is presented. And a GA optimizer is used to solve some typical MDO questions. Simulation results show that the feasibility and the optimization result of COMI is more balance then the standard CO algorithm and the relax CO algorithm.A parallel distributed CO framework is proposed and implemented in network distributed environment using the High Level Architecture (HLA). The fedration design, the object class design, the time advance policy and the data distribution management of the framework are discussed. By using the HLA, not only all the distributed computing nodes of the CO framework can run synchronously, but also the network data flow is alleviated obviously, thus the optimization procedure can be speeded up greatly. The CO Framework based on HLA also has good flexibility, scalability and fault tolerance.By introducing the physical programming method, a multiobjective CO algorithm was given. It was tested on some multiobjective optimization test problems, and the result shows that the multiobjective CO algorithm can give good result. The algorithm is powerful in solving multiobjective optimization problems. Furthermore, the algorithm is very suitable for the engineers to express their design idea.Above methods are applied to a navigation satellite constellation design problem. It is also a further test to those methods. A navigation satellite constellation design platform is implemented based on the HLA and STK environment. The Computing result shows that: the MDO algorithms are efective on this problem.The paper research results, including the idea and method of COMI, the CO framework based on HLA, the multiobjective CO algorithm based on the physical programming, provides an effective theory and practival method for multidisciplinary design optimization of the navigation satellite constellation and other complex engineering systems.