Thermal Error Modeling and Analysis of CNC Machine Tool
In view of the fact that the linear decoupling algorithm cannot effectively solve the dynamic coupling prob-lem of six-dimensional sensors,the dynamic error research of six-dimensional force sensors is modeled and analyzed.The PNN-APSO mathematical dynamic decoupling model is established,the particle velocity is updated by introducing adaptive inertia weights,the overall search ability of particles is further enhanced,and the parameters such as the net-work connection weight function are effectively corrected,and the network is continuously optimized,which effectively improves the robustness and effectiveness of the network.The results show that the loss value of the model is about 0.3 and the accuracy is within 0.92～0.98,which can reduce the interdimensional coupling error in the actual dynamic mea-surement environment of the sensor and meet the industry's high-precision detection requirements for six-dimensional force sensors.
six-dimensional force sensorsdynamic decoupling modelAPSOPNN
万方数据
维普
