Research on Adaptive Learning Compensation Method of Machine Tool Thermal Error
During the operation of machine tool spindle,it is easy to deform when heated,which results in the decline of product precision after machining.To solve this problem,an adaptive learning compensation control method for thermal error of machine tool is designed,and the effects before and after compensation are verified by experiments.The principle diagram of thermal error adaptive control of machine tool is given,and an exogenous input autoregressive model for identifying and updating thermal er-ror is proposed.The weighted least square method is used to update the parameters adaptively,so as to compensate the thermal er-ror caused by the operation of the machine tool.The action control limit of thermal error is set,and the results of thermal error change before and after compensation are verified by experiments.The results show that:before compensation and after a period of operation,the thermal errors in X and Z axes are larger than the error setting range;After compensation,the thermal error pro-duced by the machine tool after running for a period of time is small,which is kept in the setting range.The adaptive learning com-pensation control method can reduce the thermal error of the machine tool and improve the machining accuracy of the machine tool.
Machine ToolThermal ErrorExogenous Input Autoregressive ModelWeighted Least SquareCo-mpensate