Method for Dynamic Compensation of System Error of In-Process Measuring of Grinding Machine Based on Neural Network

摘要

Air-gap inductive transducers are widely used for in-process measurement in grinding machines. But the dynamic errors of the inductive transducers are large and the range is small. To compensate the dynamic errors and expand the scale, a new method of error compensation and range expansion based on BP neural network is discussed in the paper. An example is given to prove the effectiveness.