The Predictive Model Based on Periodic Decomposition of Spindle Rotation Induced Error for Machine

The manufacturing and measurements of the ultra precision hardware have been more and more important with the development of the science of precision machinery. However it is limited by the spindle rotation induced error. It is imprecise to compensate the expressible deterministic part of errors using the traditional method. A new compounding modeling method based on the periodic decomposition is proposed and discussed . Further more a more effective model has been built. The simulation experiments show that the predictive model has improved the forecasting precision of spindle rotation induced error and establish the application base for the forecasting compensatory control.