Analysis and Optimization of Light Source Displacement Errors in Machine Vision Systems
In order to acquire images of multiple types of working conditions,the learning sample of the neural network is expand-ed.Changing the height of the light source can significantly affect the differences in the images.For this reason,an error analysis of the stepper motors and drive structure,which affect the accuracy of the light source displacement,was carried out and a corre-sponding optimization compensation method was proposed.By analyzing the loads required by the four stepper motors,a load model is established and the load drive circuit is optimized.Optimization solutions are designed and validated for the interference of axial positioning errors and filament stresses in the drive structure.The experiments show that the optimization method can effectively re-duce the device error,and the positioning accuracy of the four sets of drive filaments is improved by 88.896％,98.336％,45.081％,and 31.479％ respectively.The optimization effect is obvious and provides a displacement accuracy guarantee for image acquisition.
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