Grating subdividing and direction judging method

Abstract

The invention discloses a grating subdividing and direction judging method. A microprocessor is adopted for grating subdividing and direction judging, related square signals are output by a grating sensor, the grating sensor respectively outputs the square signals A and the square signals B, the phase difference of the square signals A and the square signals B is 90 degrees, the square signals A and the square signals B are connected with two interrupt input ports of the microprocessor respectively, and rising edge interrupt and falling edge interrupt are arranged in the microprocessor set with an interrupt service program. When the square signals A enter an interrupt state, the interrupt service program reads the state of the square signals B and judges the xor value of state values of the square signals A and the square signals B; when the square signals B enter an interrupt state, the interrupt service program reads the state of the square signals A and judges the xor value of the state values of the square signals A and the square signals B. According to the grating subdividing and direction judging method, the output square signals A and the square signals B are subdivided into four parts in the mode of double interrupt (rising edge triggering and falling edge triggering), the processing and calculating time of the interrupt service program is greatly shortened, calculation efficiency is improved, and the grating subdividing and direction judging method is high in real-time performance, good in stability and high in interference-resisting capacity.

Description

technical field [0001] The invention relates to a raster subdivision and direction judgment method, in particular to a method for subdividing and judging a raster by using a software method based on double interrupts of rising and falling edges. Background technique [0002] The existing grating subdivision and direction determination methods mainly include optical subdivision method, mechanical subdivision method, hardware subdivision method and microprocessor software subdivision method. [0003] Using hardware subdivision method to subdivide the grating is a method that is widely used at present, but this method usually requires additional hardware circuits, so the cost is relatively high. [0004] However, the current software subdivision method requires a microprocessor (CPU) to monitor and scan the grating signal output by the grating sensor in real time, resulting in a large processing task for the CPU, which takes up a long working time of the CPU, and the real-time ...

AI Technical Summary

Problems solved by technology

[0003] Using the hardware subdivision method to subdivide the grating is currently the most widely used method, but this method usually requires additional hardware circuits, so the cost is high

[0004] However, the current software subdivision method requires a microprocessor (CPU) to monitor and scan the grating signal output by the grating sensor in real time, resulting in a large processing task for the CPU, which takes up a long working time of the CPU, and the real-time performance of the calculation results poor

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