Shafting dynamic balance multi-target optimization method based on differential search algorithm

A technology of multi-objective optimization and search algorithm, which is applied in the field of multi-objective optimization of shafting dynamic balance based on differential search algorithm, and can solve the problem of limited optimization effect of high-dimensional multi-peak function.

Active Publication Date: 2014-09-24
XI AN JIAOTONG UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to overcome the inability of the traditional dynamic balancing method to comprehensively consider factors such as the maximum value of residual vibration of each vibration measuring point after balancing, the uniformity of residual vibration of each support, and the size of the counterweight. The shortcomings of peak function optimization effects are limited, and a multi-objective optimization method for shaft dynamic balance based on differential search algorithm is provided

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  • Shafting dynamic balance multi-target optimization method based on differential search algorithm
  • Shafting dynamic balance multi-target optimization method based on differential search algorithm
  • Shafting dynamic balance multi-target optimization method based on differential search algorithm

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Embodiment Construction

[0062] The present invention will be further described below with reference to the drawings and embodiments.

[0063] The detailed description of the multi-objective optimization method of shaft dynamic balance based on DS algorithm is as follows:

[0064] 1) First determine the number of measurement faces N and the number of balance faces M of the rotor, set two mutually perpendicular displacement sensors as measuring points on each measurement face, and then determine the key phase angle between the key phase sensor and the displacement sensor, and the key phase clamp Angle is the angle that the key phase sensor turns when it meets the first displacement sensor in the direction of rotation of the rotor;

[0065] The sensor installation method is as figure 1 As shown, the included angle between the first displacement sensor X and the second displacement sensor Y on the measurement surface is 90°, and the key phase included angle is the included angle between the key phase sensor K ...

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Abstract

The invention discloses a shafting dynamic balance multi-target optimization method based on a differential search algorithm. The method is characterized by utilizing the accuracy, stability and rapidness features of the DS (differential search) algorithm to the multi-target optimization of rotation mechanical shafting balance. The method utilizes three targets of the residual oscillation quadratic sum, the residual oscillation maximum value and the difference of the residual oscillation maximum value and residual oscillation minimum value to weigh the machine residual oscillation state; the multi-target optimization is carried out through the DS algorithm; and the quality of the balance effect is comprehensively evaluated, and the defect that with the influence factor method in the past, only the residual oscillation quadratic sum minimum is served as a single balance target in the dynamic balance is solved.

Description

Technical field [0001] The invention belongs to the field of dynamic balance of rotating machinery, and specifically relates to a shafting dynamic balance multi-objective optimization method based on a differential search (Differential Search, DS) algorithm. Background technique [0002] Rotating machinery has a long history. Before the steam engine era, the rotating speed of rotating machinery was still very low and the energy transferred was very small. After entering the modern society, in order to meet the needs of production, machinery has developed in the direction of precision, large-scale, and high-speed. In large-scale production enterprises such as steel, petrochemical, and aerospace, rotating machinery includes key equipment such as fans, steam turbines, motors, gas turbines, compressors, blowers, aero engines, and pumps. The operating conditions directly affect the production of enterprises. , Once shut down due to failure, it will cause huge economic losses and seri...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M1/16
Inventor 温广瑞廖与禾张恒辉董晓妮任延晖徐光华梁霖
Owner XI AN JIAOTONG UNIV
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