摘要
针对传统光纤激光器解耦控制方法存在工作过程复杂性、解耦控制质量差等缺陷,提出了改进粒子群优化的光纤激光器解耦控制方法。首先采用神经元网络构造光纤激光器PID耦合控制系统,控制光纤激光器的温度以及输出功率,然后采用改进粒子群算法对光纤激光器PID参数优化,以获取最佳的控制结果,最后通过了具体实验对其有效性进行了测试。结果表明,该方法可以有效对光纤激光器的解耦进行控制,提升光纤激光器控制系统的调控质量,具有较高的鲁棒性。
Traditional fiber laser decoupling control method has defects such as complexity and poor quality in working process,therefore,an improved particle swarm optimization of fiber laser decoupling control method was proposed. First use neural network to build the fiber laser PID coupling control system,which can control the temperature and the output power. Then,the improved particle swarm algorithm is adopted to optimize fiber laser PID parameters,in order to get the best control result. Finally,do the concrete experiment to test its validity. Results show that this method can effectively control the decoupling of fiber laser,improve its control quality and has high robustness.
出处
《激光杂志》
北大核心
2018年第2期64-67,共4页
Laser Journal
基金
山西省科学技术厅科技攻关项目(No.20100322005)
关键词
改进粒子群算法
光纤激光器
解耦控制
输出功率
improved particle swarm optimization
fiber optic laser
decoupling control
output power
作者简介
楼国红（1970-），男，汉族，副教授，主要研究方向：信号与信息处理。
