Application of kalman filter in the CNC servo control system

The primary objective of this research is to construct a kind of PID controller which can adapt to the nonlinear and time-variation of the CNC servo control system. According to the trait and performance requirement of the CNC servo system, based on the traditional PID control and kalman filter theory, a kind of special PID controller has been designed, using the kalman filter to overcome the influence of measurement noise and control noise in the CNC servo control system, thus, the system possesses better self-adaptive ability and strong disturbance resisting performance. Several sets of experiments were carried out based on MATLAB/Simulink environment to test the validity of this PID controller. The dynamic simulation results show that the controller achieves better performance than the classic one, and it can restrain the noise and has better dynamic response characteristics. This research gives solution to the difficult controllability of nonlinear and time-variation system, which has important theoretical significance and engineering practical value.