A Control Method for Artillery Servo System Based on Improved Antlion Optimization

Aiming at the requirements of high tracking accuracy and strong robustness for the servo control system of anti-aircraft artillery, a control strategy for the artillery servo system based on an improved particle swarm antlion optimization algorithm was proposed. Firstly, based on the establishment of the artillery AC servo system model, analyzed the structure of the position controller; Secondly, the improved antlion algorithm was used to optimize the position loop PI controller. In order to solve the problem that the diversity of antlions decreases in the late iteration of the algorithm and leads to local optimization, and to ensure the optimal parameters, the PSO algorithm and ALO algorithm were integrated, using particle swarm optimization algorithm to update the antlion position, further updating the elitist stage of the ant-lion algorithm, and introducing adaptive nonlinear decreasing inertia weight coefficients in the particle swarm algorithm to enhance the algorithm’s local search ability in the later stage, introducing dynamic proportion coefficients and nonlinear dynamic weights in the antlion algorithm to improve the algorithm’s global search ability; Finally, model and simulate in MATLAB/Simulink, and analyze the system stability, tracking performance, and robustness under the action of each controller. The simulation results show that the IPSO-ALO algorithm is the best for various performance indicators of PI control, with an increase of 18. 2% and 33. 1% in adjustment time compared to IPSO and IALO, respectively. The designed controller can achieve better response characteristics and tracking accuracy for the artillery servo system, with strong anti-interference ability and strong robustness, proving the effectiveness of this method.