Ball Screw key technology of error prediction and compensation

This paper first introduces the many advantages of using error compensation technology to improve machining accuracy and introduces the specific application of error compensation technology in the machining process of Ball Screw at home and abroad, and summarizes their advantages and disadvantages to provide a reference for our following research.

Then the source of error during ball screw machining is analyzed, and several factors which have great influence on ball screw pitch error and their influence are analyzed.

Then, the temperature field and thermal deformation distribution in the grinding process of the Lead Screw are obtained by analytical method and ANSYS finite element method respectively, which provides the basis for our next prediction compensation.

Next, we use BP neural network to construct the identification model of lead screw pitch error prediction. The difference of the first and second derivatives of the error at the previous time, as well as the force deformation error and thermal deformation error are used as inputs to predict the current time error.

The simulation results show that this method is effective and feasible. Considering the effect of signal transmission delay, voltage signal fluctuation and inertia of mechanical system, an adaptive control strategy is proposed to make the compensation process transition smoothly and reduce the influence of unknown conditions.