基于粒子群优化前馈系数复合控制的光电伺服跟踪技术

Fu Xiong, Yan Yin, Xiaofeng Zhang, G. Yang, Ye Wu, Jianhua Zhou
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引用次数: 0

摘要

为了提高前馈复合控制模式下光电伺服跟踪系统的跟踪精度,本文提出了一种通过粒子群优化算法确定符合伺服系统特性的精确前馈系数的方法。结合前馈复合控制原理和光电伺服控制系统结构下的应用方法,对前馈环节进行简化设计,引入系统输入跟踪信号的一阶和二阶微分;采用优化能力强的线性降权粒子群算法对复合控制系统的前馈系数进行优化,提高系统的响应和跟随能力,并设计了完整的优化算法流程。通过对机载光电跟踪系统各种典型应用场景的仿真对比,结合样机验证的实验结果表明,优化后的前馈系数可以大大减小跟踪不对准角,具有稳定性和适用性,对目标相对速度和相对加速度特性具有较好的跟踪能力。
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Optoelectronic Servo Tracking Technology Based on Particle Swarm Optimization Compound Control of Feedforward Coefficients
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.
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