BP Neural Network PID Control Scheme for Electromagnetic Scanning Micromirror*

Abstract

In this paper, in order to improve the unexpected dynamic performance and input hysteresis of MEMS electromagnetic scanning micromirror (MEMS-ESM), a BP neural network PID control (BP-PID) scheme is adopted. Firstly, the BP-PID controller is designed, and since then PID parameters is self-adjusted by tracking error. Finally, the results of experiment show that the BP-PID control can improve the unexpected dynamic performance of the MEMS-ESM, with faster response speed and smaller tracking error.