Optoelectronic Servo Tracking Technology Based on Particle Swarm Optimization Compound Control of Feedforward Coefficients

Abstract

In order to improve the tracking accuracy of the electro-optical servo tracking system under the feedforward compound control mode, the paper proposes a method of determining the precise feedforward coefficients in line with the characteristics of the servo system through the particle swarm optimization algorithm. Combining the principle of feedforward compound control and the application method under the structure of photoelectric servo control system, the feedforward link is simplified and designed to introduce the first and second order differentials of the input tracking signal of the system; The linearly decreasing weight particle swarm algorithm with strong optimization ability is used to optimize the feedforward coefficient of the compound control system to improve the response and follow ability of the system, and a complete optimization algorithm process is designed. Through the simulation and comparison in various typical application scenarios of the airborne photoelectric tracking system, combined with the experimental results of the prototype verification, the optimized feedforward coefficient can greatly reduce the tracking misalignment angle, has both stability and applicability, and has better tracking ability for the characteristics of target relative velocity and relative acceleration.