Filter automatic debugging system based on double three-axis motion mechanical arm

Abstract

The invention relates to the field of filter debugging technologies, in particular to a filter automatic debugging system based on double three-axis motion mechanical arms. The filter automatic debugging system comprises a vector network analyzer, a computer and mobile debugging mechanisms, wherein an input end of the vector network analyzer is connected with a debugged filter, an output end is connected with the computer, and the vector network analyzer is used for measuring electrical characteristics of the debugged filter; an input end of the computer is connected with the vector network analyzer, an output end is connected with the mobile debugging mechanisms, and the computer is used for acquiring the electrical characteristics measured by the vector network analyzer, calculating tuning amount of a tuning screw in the filter and transmitting the tuning amount to the mobile debugging mechanisms; and the mobile debugging mechanisms are connected with the output end of the computer, a debugging tool bit group which can move along x, y and z directions is arranged on each mobile debugging mechanism, and the mobile debugging mechanisms are used for debugging coordinating screws of the filter. The mobile debugging mechanisms are used for debugging two debugging regions of the filter respectively, thus the filter automatic debugging system based on the double three-axis motion mechanical arms can achieve automatic debugging, liberates manpower, and has high debugging efficiency.

Description

technical field [0001] The invention relates to the technical field of filter debugging, in particular to a filter automatic debugging system based on a dual-three-axis motion mechanical arm. Background technique [0002] At present, the mass production method of filters mainly relies on manual debugging. The manual debugging of the filter is a repetitive and boring process, and the debugging efficiency depends on the experience of the debugger. Under the same technical index, the status of the product debugged by different debuggers will be different. And it is a long process to train an experienced debugger. With the rising cost of labor, many companies adopt the method of renting debuggers for production to avoid the cost of training debuggers. However, this has brought unfavorable factors such as unstable debugging costs and unstable production capacity. Therefore, manual debugging is not only a waste of manpower and low work efficiency, but also the debugging effect v...

AI Technical Summary

Problems solved by technology

However, this brings unfavorable factors such as unstable debugging costs and unstable production capacity.

Therefore, using manual debugging not only wastes manpower, but also reduces work efficiency, and the debugging effect varies from person to person, and the quality of debugging cannot be guaranteed.

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