Post by Steve Yenisch on May 14, 2009 11:45:20 GMT -5
Paper: www.mae.ufl.edu/nkim/ISSMO/WenYaoPaper.pdf
ABSTRACT
Abstract: With progress of aeronautical technology and development of application requirement, demand for robustness and reliability of airplane is ever-increasing. To enhance airplane design quality, the theory and application of Uncertainty Multidisciplinary Design Optimization (UMDO) is systematically studied in this paper. Based on the research work, a game theory based composite subspace uncertainty multidisciplinary design optimization procedure is proposed and applied in an airplane system design optimization problem. Firstly, the UMDO theory is briefly introduced. Secondly, the UMDO procedure is comprehensively studied. Based on the Concurrent SubSpace Optimization (CSSO) procedure, a Game theory Based Composite SubSpace Uncertainty Optimization (GBCSSUO）procedure is proposed. In GBCSSUO, the design process with multiple disciplinary teams is abstracted as games with multiple players. The fundamental game protocols of game theory which describe the multi-player strategic interaction models are studied in depth and characteristics of each protocol is thoroughly analyzed. Based on the analysis, we find that the complex MDO problem is usually so complicated that it is hard to use a uniform model to describe the information interaction of all the design groups, so we propose to utilize multi-protocols synthetically so as to make full use of each protocol’s advantages and organize discipline relationship effectively according to specific design situation. We use this game theory multi-protocol based discipline organization method to solve the subspace optimization of CSSO, so that the discipline organization can be more rational and flexible, and the design profits in complex MDO problem can be enlarged. Based on this efficient disciplinary organization form, further integrating uncertainty design and optimization method into subspace and system optimization steps, GBCSSUO can efficiently organize the process of complex system uncertainty design optimization and mitigate the calculation burden. The proposed method is tested in a typical MDO problem, and the result confirms the efficacy of GBCSSUO. Thirdly, the application of UMDO in airplane system design is studied. A passenger airplane is chosen as the study object. The coupling relationship of the system design problem is analyzed and the subsystem optimization organization form is chosen according to the game theory multi-protocol based discipline organization method. The uncertainties of the airplane system design are analyzed, and the uncertainty optimization problem is defined, with objective of minimizing the airplane total mass. GBCSSUO is adopted to integrate and resolve the UMDO problem. The optimization result confirms the feasibility and validity of the proposed method, and offers a robust and reliable optimum system design scheme of the passenger airplane. Finally, the research work in this paper is summarized, and some suggestions on future research of UMDO theory and its application in airplane system design are presented.
Keywords: Uncertainty Multidisciplinary Design and Optimization, UMDO Procedure, Concurrent Subspace Uncertainty Optimization, Game Theory, Airplane System Design
A Game Theory Based Composite Subspace Uncertainty Multidisciplinary Design Optimization Procedure
1. Wen Yao (contact author), 2. Xiaoqian Chen, 3. Yuexing Wei
(College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha, China)
4. Shiwen Gao
(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of Aerospace and Materials Engineering, National University of Defense Technology, Changsha, China)
4. Shiwen Gao
(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
ABSTRACT
Abstract: With progress of aeronautical technology and development of application requirement, demand for robustness and reliability of airplane is ever-increasing. To enhance airplane design quality, the theory and application of Uncertainty Multidisciplinary Design Optimization (UMDO) is systematically studied in this paper. Based on the research work, a game theory based composite subspace uncertainty multidisciplinary design optimization procedure is proposed and applied in an airplane system design optimization problem. Firstly, the UMDO theory is briefly introduced. Secondly, the UMDO procedure is comprehensively studied. Based on the Concurrent SubSpace Optimization (CSSO) procedure, a Game theory Based Composite SubSpace Uncertainty Optimization (GBCSSUO）procedure is proposed. In GBCSSUO, the design process with multiple disciplinary teams is abstracted as games with multiple players. The fundamental game protocols of game theory which describe the multi-player strategic interaction models are studied in depth and characteristics of each protocol is thoroughly analyzed. Based on the analysis, we find that the complex MDO problem is usually so complicated that it is hard to use a uniform model to describe the information interaction of all the design groups, so we propose to utilize multi-protocols synthetically so as to make full use of each protocol’s advantages and organize discipline relationship effectively according to specific design situation. We use this game theory multi-protocol based discipline organization method to solve the subspace optimization of CSSO, so that the discipline organization can be more rational and flexible, and the design profits in complex MDO problem can be enlarged. Based on this efficient disciplinary organization form, further integrating uncertainty design and optimization method into subspace and system optimization steps, GBCSSUO can efficiently organize the process of complex system uncertainty design optimization and mitigate the calculation burden. The proposed method is tested in a typical MDO problem, and the result confirms the efficacy of GBCSSUO. Thirdly, the application of UMDO in airplane system design is studied. A passenger airplane is chosen as the study object. The coupling relationship of the system design problem is analyzed and the subsystem optimization organization form is chosen according to the game theory multi-protocol based discipline organization method. The uncertainties of the airplane system design are analyzed, and the uncertainty optimization problem is defined, with objective of minimizing the airplane total mass. GBCSSUO is adopted to integrate and resolve the UMDO problem. The optimization result confirms the feasibility and validity of the proposed method, and offers a robust and reliable optimum system design scheme of the passenger airplane. Finally, the research work in this paper is summarized, and some suggestions on future research of UMDO theory and its application in airplane system design are presented.
Keywords: Uncertainty Multidisciplinary Design and Optimization, UMDO Procedure, Concurrent Subspace Uncertainty Optimization, Game Theory, Airplane System Design
