Research on Pose Error Analysis and Compensation of Parallel Machine Tool Based on Neural Network
In order to solve the problem of pose error compensation of parallel machine tool,this paper takes 6-DOF parallel machine tool as the research object,establishes the pose error model based on the in-verse kinematics solution of parallel machine tool,and obtains the relationship between the length error of the driving rod and the position error of hinge point and the pose error of the moving platform of parallel machine tool.The position error of the hinge point can be compensated by adjusting the length of the rod.Because the length error of the drive rod is difficult to measure,an improved correction system input meth-od based on BP neural network is designed to compensate the pose error of the moving platform of the par-allel machine tool.The simulation results show that the pose error after compensation is obviously smaller than that before compensation,which verifies the reliability of the pose error analysis and compensation method of parallel machine tool.
parallel machine toolerror analysisBP neural networkfixed system input methodcompensation
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