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Magnetic flux convertor optimum design method based on genetic algorithm and ANSYS simulation

A magnetic flux converter and genetic algorithm technology, applied in the field of optimal design of magnetic flux converters, can solve problems such as difficult to obtain results, and achieve the effects of low energy consumption, long life, and improved overall operating performance indicators

Active Publication Date: 2015-03-04
TONGJI UNIV
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Problems solved by technology

In doing so, it is difficult to obtain optimal results

Method used

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  • Magnetic flux convertor optimum design method based on genetic algorithm and ANSYS simulation
  • Magnetic flux convertor optimum design method based on genetic algorithm and ANSYS simulation
  • Magnetic flux convertor optimum design method based on genetic algorithm and ANSYS simulation

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Embodiment 1

[0053] Embodiment 1: The present invention is based on the optimal design method of the magnetic flux converter of genetic algorithm and ANSYS simulation, combines Figure 4 , Figure 5 , Figure 6 , proceed as follows:

[0054] Step 1: Select the resistance R, capacitor C, and drive circuit voltage U in the drive circuit of the flux converter as the optimization variables that affect the final performance of the flux converter, and the values ​​of each group (R, C, U) are used as the population For an individual in , set the evolution algebra counter t=0, set the maximum evolution algebra T, initialize and generate the initial population;

[0055] Step 2: Define the fitness function. The fuzzy function is used as the fitness fi evaluation subroutine to calculate the fitness fi of each individual in the population P(t). Two indicators to measure the action performance of the magnetic flux converter: the final velocity v of the ejector pin ejection and the execution time t ...

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Abstract

The invention relates to the optimum design field of magnetic flux convertors, in particular to a magnetic flux convertor optimum design method based on a genetic algorithm and ANSYS simulation. The magnetic flux convertor optimum design method based on the genetic algorithm and the ANSYS simulation includes: selecting resistance, capacitance and drive voltage in a drive circuit of the magnetic flux convertor as main optimum parameters, and using the genetic algorithm in combination with the ANSYS simulation to perform optimum design of the drive circuit. The number of indexes for measuring motion performance of the magnetic flux convertor is two, and the two indexes are respectively final ejection velocity v of an ejector rod and execution time t of a whole tripping motion. The magnetic flux convertor optimum design method based on the genetic algorithm and the ANSYS simulation considers an actual tripping dynamic process of the magnetic flux convertor on the premise of optimizing design. The magnetic flux convertor optimum design method based on the genetic algorithm and the ANSYS simulation facilitates the optimum design of the magnetic flux convertor, and thereby raises the motion performance indexes of the magnetic flux convertor.

Description

technical field [0001] The invention relates to the field of optimal design of magnetic flux converters, in particular to an optimal design method of magnetic flux converters based on genetic algorithm and ANSYS simulation. Background technique [0002] With the development of embedded microprocessor technology, more and more digital controllers have been introduced into traditional low-voltage electrical appliances. In new low-voltage electrical appliances, signals are generally sensed by current transformers, analyzed and judged by microprocessors, and finally the contacts or mechanisms of low-voltage electrical appliances are driven by magnetic flux converters to realize disconnection or tripping of low-voltage electrical appliances. Therefore, the magnetic flux converter plays the role of signal transmission between the traditional low-voltage electrical mechanism and the new digital controller. [0003] Such as figure 1 Shown is a typical flux converter. It includes ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 黄世泽郭其一李凡璋陈聪许慧
Owner TONGJI UNIV
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