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Electromagnetic thrust bearing structural parameter optimization method based on double-target genetic algorithm

A technology of electromagnetic thrust and structural parameters, which is applied in the field of optimal design of electromagnetic thrust bearing structural parameters, can solve the problems of high eddy current loss affecting dynamic characteristics and increasing temperature constraints, so as to avoid irreversible losses, high precision, and increase constraints conditional effect

Active Publication Date: 2018-06-29
XIAN UNIV OF SCI & TECH
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Problems solved by technology

[0005] In order to solve the problem that the high eddy current loss generated by the existing electromagnetic thrust bearing under the condition of high-speed operation affects the dynamic characteristics, the present invention provides a method for optimizing the structural parameters of the electromagnetic thrust bearing based on a double-objective genetic algorithm. Under the premise of high-speed bearings to obtain excellent dynamic characteristics, the linear weighting method is used to convert the dual-objective optimization into single-objective optimization, and the temperature constraint is added. The genetic algorithm is used to analyze the structural parameters of the electromagnetic thrust bearing made of soft magnetic composite materials Carry out global optimization and evaluation in the solution space of the comprehensive optimization objective function, obtain the structural parameters of the electromagnetic thrust bearing, and solve the problem of one-sided consideration of structural parameters based on a single objective (minimum mass) in the past

Method used

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  • Electromagnetic thrust bearing structural parameter optimization method based on double-target genetic algorithm
  • Electromagnetic thrust bearing structural parameter optimization method based on double-target genetic algorithm
  • Electromagnetic thrust bearing structural parameter optimization method based on double-target genetic algorithm

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Embodiment 1

[0083] In the present invention, the bearing mass f 1 (x) and the energy loss f of the coil 2 (x) is the objective function, so the relationship between the evaluation function and weighting factors is:

[0084]

[0085] ω 1 , ω 2 The value is between 0 and 1, and the incremental value is 0.1, and 9 groups of situations are obtained according to the permutation and combination method:

[0086]

[0087] Considering that the objective function of the present invention includes that the quality of the bearing and the energy loss of the coil have similar influence and importance on the whole, so here we take ω 1 = ω 2 = 0.5.

[0088] to ω 1 = ω 2 =0.5 In this case, use the genetic algorithm to optimize the Pareto optimal solution set under different iterations (20, 50, 100), and calculate the f corresponding to each Pareto optimal solution 1 and f 2 , and then select a set of iterations with the smallest total fitting residual as 100.

[0089] According to the bear...

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Abstract

The invention discloses an electromagnetic thrust bearing structural parameter optimization method based on a double-target genetic algorithm. According to the method, under the premise that it is ensured that an electromagnetic thrust bearing serves as a high-speed bearing to obtain excellent dynamic characteristics, coil energy loss and the bearing quality are used as optimization targets, constraint function relationships among the bearing capacity, the magnetic flux density, temperature rising, a magnetic circuit and the like are built, multi-target optimization is transformed into single-target optimization by utilizing a linear weighting method, global optimization is conducted on structural parameters of the electromagnetic thrust bearing in a solution space of a comprehensive optimization target function by adopting the genetic algorithm, the local optimal point can be skipped over to achieve the effect of global convergence, non-dominated solutions of two targets are obtained,the deficiencies of a direct method and an indirect method are made up to a certain degree, the dynamic characteristics of the electromagnetic thrust bearing are effectively improved, and resources and the time are saved; and high-precision structural parameter design of the electromagnetic thrust bearing is achieved.

Description

technical field [0001] The invention specifically relates to a method for optimizing the design of structural parameters of an electromagnetic thrust bearing based on a double-objective genetic algorithm. Background technique [0002] As a main oil-free support method, the electromagnetic bearing realizes the non-contact relative motion between the rotor and the bearing through the active control of the electromagnetic force. Not only can it provide stable support for the rotor in a static state and enable the rotor to obtain a constant bearing capacity in the entire speed range, but it can also provide excellent damping characteristics for the system through active control, so it is very suitable for high-speed and ultra-high-speed rotors support. Therefore, it is of great theoretical and practical significance to carry out research on the eddy current effect of electromagnetic thrust bearings and to develop new electromagnetic thrust bearings, and it has also become a hot...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F16C32/04G06F17/50G06N3/12
CPCF16C32/0476F16C2202/40F16C2240/06F16C2240/40F16C2240/60F16C2240/70F16C2240/90F16C2300/22G06F30/17G06N3/126
Inventor 肖玲
Owner XIAN UNIV OF SCI & TECH
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