Abstract
This paper proposes a method of realizing the quadrant error compensation in the embedded CNC system based on ARM and DSP. The method combines the system’s structural characteristics of software and hardware, uses an improved BP neural network algorithm to improve the compensation efficiency and achieves adaptive compensation in the premise of ensuring adequate compensation accuracy. The simulation case shows that when the feed rate changes, the method can improve the outline precision of the processing path through quadrant position.
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