摘要
光电探测具有较高的实际应用价值,在光电探测过程中,由于多种因素的综合影响,因素之间互相干扰,使得光电探测控制十分困难。为了获得理想的光电探测控制效果,针对当前光电探测控制方法存在的不足,设计了群智能算法优化PID参数的光电探测自动控制系统。首先以光电探测控制精度为目标,设计光电探测控制的目标函数,然后引入群智能算法和PID组合机制实现光电探测控制,并采用群智能算法实时优化PID参数,最后在Matlab 2017平台上进行了光电探测控制的仿真测试。结果表明,本系统有效降低了光电探测控制误差,提升了光电探测控制精度,使温度波动保持在±0.04℃以内,且在2 min内达到稳定状态,具有较强的鲁棒性。
Photoelectric detection has high practical application value.In the process of photoelectric detection,due to the comprehensive influence of many factors,the factors interfere with each other,which makes the photoelectric detection control very difficult.In order to obtain ideal photoelectric detection control effect,aiming at the shortcomings of the current photoelectric detection control method,a photoelectric detection automatic control system based on swarm intelligence algorithm for optimizing PID parameters is designed.Firstly,aiming at the precision of photoelectric detection control,the objective function of photoelectric detection control is designed.Then,swarm intelligence algorithm and PID combination mechanism are introduced to realize photoelectric detection control,and PID parameters are optimized by swarm intelligence algorithm in real time.Finally,the simulation test of photoelectric detection control is carried out on Matlab 2017 platform.The results show that the system effectively reduces the photoelectric detection control error,improves the photoelectric detection control accuracy,keeps the temperature fluctuation within 0.04℃,and reaches a stable state within 2 min,and has strong robustness.
作者
王金凤
徐景德
赵军伟
付小伟
WANG Jinfeng;XU Jingde;ZHAO Junwei;FU Xiaowei(North China Institute of Science and Technology,Beijing 101601,China)
出处
《激光杂志》
CAS
北大核心
2022年第7期44-48,共5页
Laser Journal
基金
国家自然科学基金(No.51374018)。
关键词
光电探测技术
自动控制
群智能算法
PID参数
photoelectric detection technology
automatic control
swarm intelligence algorithm
PID parameters
