Abstract
Due to the fixed control parameters, traditional proportional integral differential (PID) control tend to have problems such as large overshoot, poor stability and low control accuracy, which is difficult to meet the high control quality requirement of modern radar servo system. In this paper, based on the neural network adaptive control theory, a radar servo control system is designed and its effect is improved through the self-learning of neurons, the adjustment of the weighting coefficient and the optimization of the PID controller parameters. The simulation results show that the radar servo control system using neuron adaptive PID control preforms faster response speed and higher control accuracy, which is obviously better than the system with traditional PID control.
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