Design of RBF neural network adaptive PID controller of DVD pick-up head

In order to improve the practical level of two-photon 3D optical storage technology,the information storage system was built based on DVD servo technology and two-photon absorption technology. The radial basis function (RBF) neural network self-adjusting proportional-integral-derivative (PID) control algorithm was used to built the simulation model of PID control system based on the transfer function of DVD pick-up head.The parameters of PID controller were adjusted online by the ability of the RBF neural network self learning and global nonlinear strong approximation and simulated by Matlab. It is proved that the settling time of the step response of the system is shortened to 0.25s and the overshoot of the system reduces to almost zero after applying the RBF neural network adaptive PID control algorithm.