ADRC Parameters Tuning Based on MPGA for Radar Servo System

When the radar servo system tracks the maneuvering target, its platform is susceptible to gust disturbance and other effects on the tracking accuracy. The active disturbance rejection control technology can achieve high tracking accuracy and anti-interference. However, it also has some problems, such as many parameters to be adjusted, difficult manual adjustment and difficult to achieve optimal control effect. In this regard, this paper proposed a parameters optimization method based on multi-population genetic algorithm to intelligently tune the parameters of the active disturbance rejection controller. The simulation results show that the active disturbance rejection controller with the parameters adjusted by the intelligent algorithm can make the radar servo system have faster tracking effect and better anti-interference ability.