Abstract: This paper aims at optimizing the control system of servo in a certain missile. For a complex system with nonlinear and time-varying characteristics, an improved fuzzy neural network PID controller is proposed on the basis of the analysis of traditional PID control algorithm and fuzzy neural network control algorithm. Phased learning mode improves the network learning efficiency by the way of adopting self-organization learning and learning with a teacher. The mathematic model of DC brushless servo control system is established. Meanwhile, the simulation analysis is carried out by MATLAB as well. The experimental results show that the designed controller has faster step response with no overshoot basically and performs accurately with smaller phase shift under the rudder skew command.

Key words: fuzzy neural network, DC brushless servo, PID controller, MATLAB simulation