Parameter Tuning of Infrared Continuous Zoom Lens Servo Control System Based on PSO-BPNN Algorithm

In responsed to the problems of poor flexibility, low utilization of system dynamic performance, and low efficiency in traditional infrared continuous zoom lens servo control system parameter tuning methods, this paper studied a PSO-BPNN algorithm for tuning parameters of the system. Firstly, a dynamic mathematical model of the system was established by the system identification method. At the same time, a PSO-BPNN algorithm model was established, followed by simulation experiments. Finally, an experimental performance testing platform was built for experiments. The simulation and performance testing experimental results had shown that: rise time t_r≤0.055 s, settling time t_s≤0.26 s, overshoot σ≤27.6%, the system had fast response speed, good stability, and high target tracking accuracy.