Complex equipment forward design scheme optimization method considering multi-source uncertainty

A design scheme and uncertainty technology, applied in design optimization/simulation, geometric CAD, gene model, etc., can solve problems such as design reciprocating cycles and multi-source uncertainty, and achieve the effect of reducing uncertainty

Pending Publication Date: 2022-07-26
ZHEJIANG UNIV
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Problems solved by technology

[0003] In order to solve the problem that multi-source uncertainties in the design stage of complex equipment lead to design reciprocating cycles, the purpose of the present invention is to provide a forward design scheme optimization method for complex equipment that considers multi-source uncertainties

Method used

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  • Complex equipment forward design scheme optimization method considering multi-source uncertainty
  • Complex equipment forward design scheme optimization method considering multi-source uncertainty
  • Complex equipment forward design scheme optimization method considering multi-source uncertainty

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Embodiment Construction

[0053] The present invention will be further described below by taking an aspherical optical polishing machine in complex equipment as an example.

[0054] like figure 1 As shown, the present invention comprises the following steps:

[0055] 1) Considering the uncertainty in the optimization process of complex equipment, determine three uncertainty variables of each functional module in the forward design scheme of complex equipment. The three uncertainty variables are the module performance parameter P, the configuration cost C and the confidence Then, based on the three uncertainty variables of each functional module in the design scheme, the performance parameter responsivity function, interval cost function and fuzzy confidence function of the design scheme are established respectively;

[0056] The formula of the performance parameter responsivity function of the design scheme in step 1) is as follows:

[0057]

[0058]

[0059] Among them, G(P) represents the per...

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Abstract

The invention discloses a complex equipment forward design scheme optimization method considering multi-source uncertainty. Comprising the following steps: establishing three objective functions of a design scheme, then constructing a feasible complex equipment forward design scheme by using an original understanding method, and mapping the feasible complex equipment forward design scheme with the three objective functions to generate a complex equipment design scheme morphological matrix under multi-source uncertainty so as to establish an original model; then converting the three objective functions to obtain a deterministic model, and solving the model by using an improved multi-source uncertain non-dominated solution genetic algorithm to obtain an optimal design scheme set; and an intuitionistic fuzzy lambda-Shapley Choquet integration method is utilized to carry out optimization, and an optimal forward design scheme of the complex equipment is obtained. According to the method, the forward design scheme set of the complex equipment can be efficiently obtained, and the problem that in an existing design scheme optimization model, the influence of random, interval and fuzzy multi-source uncertainty is not considered at the same time, and consequently the designed scheme lacks rationality is solved.

Description

technical field [0001] The invention relates to a method for optimizing a forward design scheme of complex equipment, in particular to a method for optimizing a forward design scheme of complex equipment considering multi-source uncertainty. Background technique [0002] Complex equipment specifically refers to a system or product with a huge product structure, interdisciplinary knowledge, a large number of parts, high technical content, and high integration, such as machine tools, ships, gas turbines, etc. Therefore, the research and development of complex equipment is difficult to design, the design requirements are complex and diverse, the designer's thinking often has the characteristics of jumping and discontinuous, and the design information is often vague, abstract and incomplete, resulting in product development needs to be highly nonlinear and high-dimensional. Searching for a feasible design solution that meets the technical performance in the design space consumes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/17G06F30/27G06N3/12
CPCG06F30/17G06F30/27G06N3/126
Inventor 刘振宇李志男撒国栋裘辿谭建荣
Owner ZHEJIANG UNIV
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