基于可靠性和物理规划的多学科协同优化方法研究
发布时间：2018-10-24 16:42
【摘要】：随着社会多元化程度的不断加快,科技的持续发展,我们生活中的各种产品的复杂程度更是日益提高。而传统的设计优化理论在对复杂系统进行设计时存在设计效率低、产品开发周期长等诸多缺陷。为此,科研设计人员开发了新的设计优化理论,即多学科设计优化理论。该理论强调充分利用各学科之间的存在的耦合协同机制,通过不断协调各学科变量的取值,从而获得系统整体最优解。在操作上,该理论要求在设计之初就必须充分考虑学科间存在的耦合关系,通过分布式计算网络组织和管理整个设计过程,从而实现并行的分析和设计。本文深入分析研究了多学科设计优化理论及其技术体系,并对几种多学科设计优化方法进行详细的分析与研究,并将这几种方法应用到数学算例的求解之中。标准协同优化方在计算上存在很大的困难性。本文采用二次函数算例,通过结果对比详细探讨说明了其存在的计算困难性,并从数学理论的角度深入分析探讨了导致这种计算困难的根本原因。针对其计算困难的根本原因,本文深入分析研究了三种改进措施。将三种改进措施应用到算例的分析求解之中,并从优化结果的误差度、迭代次数、收敛程度等几个方面加以评判。通过多方面的对比,表明引入松弛变量的协同优化方法具有很好的计算性能。可靠度是现代社会衡量产品质量的一个重要指标。为了提高经多学科设计优化后产品的可靠度,本文深入研究探讨了一阶可靠性方法,并将一阶可靠性方法引入到多学科设计优化的框架之中,从而保证系统产品的可靠度。为此,本文建立了基于可靠性的协同优化方法。通过数学算例表明该方法是行之有效的。而后,将该方法应用到齿轮箱减速器的设计优化之中,通过结果对比表明采用该方法后齿轮箱减速器的可靠度得到了显著提高。物理规划方法因能将工程经验等偏好信息融入到产品的设计优化之中,而深得广大工程设计人员的喜爱。本文详细分析研究了物理规划方法的设计思想、偏好函数的建立以及计算流程等。在此基础上,本文将物理规划方法融合到多学科设计优化方法之中,建立了基于物理规划的协同优化方法。将该方法应用到某型号战术导弹的设计优化之中,不仅偏好信息等得到了充分的考虑,而且所得到的优化结果也是非常令人满意的。
[Abstract]:With the rapid development of social diversity and science and technology, the complexity of various products in our life is becoming more and more complex. However, the traditional design optimization theory has many defects, such as low design efficiency and long product development cycle. Therefore, a new design optimization theory, I. e., multidisciplinary design optimization theory, has been developed by researchers and designers. The theory emphasizes to make full use of the coupling and coordination mechanism between disciplines, and to obtain the overall optimal solution of the system by continuously coordinating the values of the variables of each discipline. In operation, the theory requires that the coupling relationship between disciplines must be fully considered at the beginning of design, and the whole design process should be organized and managed by distributed computing network, so that parallel analysis and design can be realized. In this paper, the theory of multidisciplinary design optimization and its technical system are deeply analyzed, and several multidisciplinary design optimization methods are analyzed and studied in detail, and these methods are applied to the solution of mathematical examples. The standard cooperative optimization method is very difficult to calculate. In this paper, an example of quadratic function is used to illustrate the difficulty of calculation in detail by comparing the results, and the fundamental causes of this difficulty are analyzed and discussed from the point of view of mathematical theory. Aiming at the root cause of its difficulty in calculation, three kinds of improvement measures are analyzed and studied in this paper. Three kinds of improvement measures are applied to the analysis and solution of an example, and the error degree, iteration number and convergence degree of the optimization result are evaluated. The comparison shows that the cooperative optimization method with relaxation variables has good computational performance. Reliability is an important index to measure product quality in modern society. In order to improve the reliability of the product after multidisciplinary design optimization, the first order reliability method is studied in this paper, and the first order reliability method is introduced into the framework of multidisciplinary design optimization to ensure the reliability of the system product. Therefore, a reliability-based collaborative optimization method is established in this paper. A mathematical example shows that the method is effective. Then, the method is applied to the design optimization of gearbox reducer. The results show that the reliability of gearbox reducer is improved remarkably. The physical planning method is popular among the engineering designers because it can integrate the engineering experience and other preference information into the design optimization of the product. In this paper, the design idea of physical programming method, the establishment of preference function and the calculation flow are analyzed in detail. On this basis, the physical programming method is integrated into the multidisciplinary design optimization method, and a collaborative optimization method based on physical planning is established. When this method is applied to the design optimization of a certain type of tactical missile, not only the preference information is fully considered, but also the optimization results are very satisfactory.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB47;TB114.3
本文编号：2291940
[Abstract]:With the rapid development of social diversity and science and technology, the complexity of various products in our life is becoming more and more complex. However, the traditional design optimization theory has many defects, such as low design efficiency and long product development cycle. Therefore, a new design optimization theory, I. e., multidisciplinary design optimization theory, has been developed by researchers and designers. The theory emphasizes to make full use of the coupling and coordination mechanism between disciplines, and to obtain the overall optimal solution of the system by continuously coordinating the values of the variables of each discipline. In operation, the theory requires that the coupling relationship between disciplines must be fully considered at the beginning of design, and the whole design process should be organized and managed by distributed computing network, so that parallel analysis and design can be realized. In this paper, the theory of multidisciplinary design optimization and its technical system are deeply analyzed, and several multidisciplinary design optimization methods are analyzed and studied in detail, and these methods are applied to the solution of mathematical examples. The standard cooperative optimization method is very difficult to calculate. In this paper, an example of quadratic function is used to illustrate the difficulty of calculation in detail by comparing the results, and the fundamental causes of this difficulty are analyzed and discussed from the point of view of mathematical theory. Aiming at the root cause of its difficulty in calculation, three kinds of improvement measures are analyzed and studied in this paper. Three kinds of improvement measures are applied to the analysis and solution of an example, and the error degree, iteration number and convergence degree of the optimization result are evaluated. The comparison shows that the cooperative optimization method with relaxation variables has good computational performance. Reliability is an important index to measure product quality in modern society. In order to improve the reliability of the product after multidisciplinary design optimization, the first order reliability method is studied in this paper, and the first order reliability method is introduced into the framework of multidisciplinary design optimization to ensure the reliability of the system product. Therefore, a reliability-based collaborative optimization method is established in this paper. A mathematical example shows that the method is effective. Then, the method is applied to the design optimization of gearbox reducer. The results show that the reliability of gearbox reducer is improved remarkably. The physical planning method is popular among the engineering designers because it can integrate the engineering experience and other preference information into the design optimization of the product. In this paper, the design idea of physical programming method, the establishment of preference function and the calculation flow are analyzed in detail. On this basis, the physical programming method is integrated into the multidisciplinary design optimization method, and a collaborative optimization method based on physical planning is established. When this method is applied to the design optimization of a certain type of tactical missile, not only the preference information is fully considered, but also the optimization results are very satisfactory.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TB47;TB114.3
【参考文献】
相关期刊论文 前3条
1 刘蔚,崔维成;多学科设计优化:载人潜水器设计的一种新工具(英文)[J];船舶力学;2004年06期
2 余雄庆,姚卫星,薛飞,穆雪峰,刘克龙,黄爱凤;关于多学科设计优化计算框架的探讨[J];机械科学与技术;2004年03期
3 尤政;李冠华;;多学科设计优化方法在微纳卫星总体设计中的应用[J];中国航天;2010年04期
相关硕士学位论文 前1条
1 袁亚辉;多学科设计优化及其不确定性研究[D];电子科技大学;2009年
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