Microwave cavity filter intelligent debugging method based on particle swarm optimization algorithm

A particle swarm optimization and microwave cavity technology, which can be used in waveguide-type devices, neural learning methods, instruments, etc., and can solve problems such as difficulty in accurately extracting coupling matrices and complex structures.

Active Publication Date: 2019-05-21
CHINA UNIV OF GEOSCIENCES (WUHAN)
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Problems solved by technology

However, the performance requirements of microwave cavity filters are increasing day by day, the structure is beco

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  • Microwave cavity filter intelligent debugging method based on particle swarm optimization algorithm
  • Microwave cavity filter intelligent debugging method based on particle swarm optimization algorithm
  • Microwave cavity filter intelligent debugging method based on particle swarm optimization algorithm

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[0050] In order to have a clearer understanding of the technical features, objectives and effects of the present invention, the specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0051] The embodiment of the present invention provides an intelligent debugging method for a microwave cavity filter based on a particle swarm optimization algorithm.

[0052] Please refer to figure 1 , figure 1 It is a flowchart of a microwave cavity filter intelligent debugging method based on a particle swarm optimization algorithm in an embodiment of the present invention, which specifically includes the following steps:

[0053] S101: Randomly change the length D of the coupling screw extending into the cavity in the electromagnetic simulation model of the microwave cavity filter to obtain the corresponding dissipation parameter S, and the length D of a group of coupling screws extending into the cavity and the corresponding dis...

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Abstract

The invention provides a microwave cavity filter intelligent debugging method based on a particle swarm optimization algorithm, and the method comprises the steps: firstly, randomly changing the length D of each coupling screw in an electromagnetic simulation model of a microwave cavity filter into a cavity, obtaining a corresponding dissipation parameter S, and constructing an original sample data set; secondly, preprocessing the data in the sample data set; based on a block modeling method and a BP neural network, performing training to obtain an electromechanical characteristic model of themicrowave cavity filter; and finally, based on the electromechanical characteristic model and a particle swarm optimization algorithm, debugging the microwave cavity filter to be adjusted. The adjustment amount of each coupling screw is determined through a particle swarm optimization algorithm, so that the value of the value function is continuously reduced until the output of the microwave cavity filter meets the preset performance index, and the debugging process of the microwave cavity filter is completed. The debugging method has the beneficial effects that the debugging difficulty is reduced, the debugging precision and the debugging speed are improved, and the practicability and the applicability are high.

Description

technical field [0001] The invention relates to the technical field of filter debugging, in particular to an intelligent debugging method for a microwave cavity filter based on a particle swarm optimization algorithm. Background technique [0002] With the rapid development of the information industry, wireless communication technology has become one of the hottest technologies in the 21st century, and microwave cavity filters, as key frequency selection devices in wireless communication systems, have received extensive attention. Due to theoretical errors in the theoretical design process of microwave cavity filters, tolerances in the manufacturing process, and differences in the characteristics and thickness of metal coatings, microwave cavity filters that have been mass-produced and processed cannot meet the factory indicators. The debugging process of the device is essential. For a long time, the debugging of microwave cavity filters has been done manually by experience...

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Application Information

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IPC IPC(8): G06F17/50G06N3/08G06N3/00H01P1/207
Inventor 曹卫华毕乐宇袁艳吴敏刘璨庄晓龙
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)
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