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基于粒子群自整定PID算法的激光器温度控制系统
引用本文:齐艺超,陈伟,穆春元,祝宁华. 基于粒子群自整定PID算法的激光器温度控制系统[J]. 激光技术, 2019, 43(5): 650-654. DOI: 10.7510/jgjs.issn.1001-3806.2019.05.012
作者姓名:齐艺超  陈伟  穆春元  祝宁华
作者单位:中国科学院 半导体研究所 集成光电子学国家重点实验室,北京 100083;中国科学院大学 微电子学院,北京100049;中国科学院 半导体研究所 集成光电子学国家重点实验室,北京,100083
摘    要:为了使激光器能够稳定工作,设计并实现了一个控制速度快、精度高,并且可调谐的温度控制系统。该系统使用ATmega328P为处理器,通过粒子群算法自整定比例-积分-微分(PID)系数,采用闭环负反馈的PID结构实现对激光器的温度控制。结果表明,在本系统控制下,激光器能在15s左右达到目标温度,且到达目标温度后温度误差约为±0.01℃,并可保持较长时间,激光器输出功率波动很小,方差仅为568.49μW。该系统对蝶形封装激光器的温度可以实现有效的温度控制。

关 键 词:激光技术  温控系统  粒子群算法  PID控制  优化
收稿时间:2018-12-04

Laser temperature control system based on particle swarm self-tuning PID algorithm
QI Yichao,CHEN Wei,MU Chunyuan,ZHU Ninghua. Laser temperature control system based on particle swarm self-tuning PID algorithm[J]. Laser Technology, 2019, 43(5): 650-654. DOI: 10.7510/jgjs.issn.1001-3806.2019.05.012
Authors:QI Yichao  CHEN Wei  MU Chunyuan  ZHU Ninghua
Affiliation:(State Key Laboratory of Integrated Optoelectronics,Institute of Semiconductors,Chinese Academy of Sciences,Beijing 100083,China;School of Microelectronics,University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:In order to make a laser work stably, a temperature control system with fast control speed, high precision and tunable performance was designed and implemented. ATmega328P was used as the processor in the system. Self-tuning proportional-integral-differential (PID) coefficients was determined by particle swarm optimization. A closed-loop negative feedback PID structure was used to control the temperature of the laser. The results show that, under the control of this system, the laser can reach the target temperature in about 15s. The temperature error after reaching the target temperature is about (±0.01℃). It can be maintained for a long time. The output power of the laser fluctuates very little. The variance is only 568.49μW. The system can effectively control the temperature of butterfly packaging laser.
Keywords:laser technique  temperature control system  particle swarm algorithm  proportional integral differentiation control  optimization
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