Research on intelligent storage cranes distribution system based on Kalman filter
The fabric crane is a key equipment that affects the fabric effect and directly affects the stability of downstream equipment's process indicators.To achieve precise fabric for driving and solve the problem of occasional material scattering during fabric handling,combining Kalman filtering and dual factor parameter optimization,applying laser ranging technology to search for the optimal fabric method in the container driving scene,realize intelligent control of fabric driving,including undisturbed percentage fabric,driving slip alarm,and fine decoration reversing function.The experimental results show that compared to other filtering algorithms,Kalman filtering provides better ranging values,with an accuracy improvement of tens of times compared to the original values.The optimal fabric parameter combination is determined to be a frequency of 45Hz and a ranging value of 10mm.While ensuring the accuracy of laser positioning values,achieving intelligent fabric handling can effectively reduce the processing time of fabric handling faults and the loss of raw materials caused by fabric leakage,directly improving the utilization rate of workshop equipment and the company's economic benefits.
Kalman filterFactor varianceLaser rangingFlexibility distribution
万方数据
维普
