基于PID控制和遗传算法的半导体激光器温控系统
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摘要
为了实现半导体激光器温度的精确控制,设计了将PID控制与遗传算法相结合的高精度温度控制系统.该系统使用热敏电阻与光电二极管进行测量和反馈半导体激光器的温度值,并用热电制冷器作为温控执行器,构成了双闭环控制系统,提出了利用遗传算法在线优化PID参数的方法,根据实时测量偏差、控制器输出和上升时间构建函数作为待优化的性能指标,从而动态调整控制器的参数.结果表明,系统能够实现高精度的温度稳定控制,稳定度达到0.027%,温度偏差为0.002℃,控制效果优于传统的PID控制,具有较好的应用价值.
In order to achieve the accurate control for the temperature of diode laser,a high precision temperature control system combining PID control and genetic algorithm was designed. The temperature value of diode laser was measured and fed back with the thermistor and photodiode in the system.M eanwhile,thermo electric cooler( TEC) was used as the actuator to control the temperature. Therefore,a double close-loop control system was constructed. The method of optimizing PID parameters in an on-line way with genetic algorithm was proposed. According to the real-time measured error,controller output and rising time,a function was established as the performance index to be optimized. And thus,the parameters for the controller could be dynamically adjusted. The results showthat the system can achieve the accurate and stabilized temperature control. The stability and temperature error are 0. 027% and 0. 002 ℃,respectively.Furthermore,the control effect is obviously superior to that of traditional PID control. Therefore,the better application value can be obtained.
In order to achieve the accurate control for the temperature of diode laser,a high precision temperature control system combining PID control and genetic algorithm was designed. The temperature value of diode laser was measured and fed back with the thermistor and photodiode in the system.M eanwhile,thermo electric cooler( TEC) was used as the actuator to control the temperature. Therefore,a double close-loop control system was constructed. The method of optimizing PID parameters in an on-line way with genetic algorithm was proposed. According to the real-time measured error,controller output and rising time,a function was established as the performance index to be optimized. And thus,the parameters for the controller could be dynamically adjusted. The results showthat the system can achieve the accurate and stabilized temperature control. The stability and temperature error are 0. 027% and 0. 002 ℃,respectively.Furthermore,the control effect is obviously superior to that of traditional PID control. Therefore,the better application value can be obtained.
引文
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[10]李健,陈晨,薛顶柱,等.基于PID算法的激光器恒温控制系统的设计[J].激光杂志,2015,36(4):38-41.(LI Jian,CHEN Chen,XUE Ding-zhu,et al.The design of temperature control for laser based on PID algorithm[J].Laser Journal,2015,36(4):38-41.)
[11]王泽,张宏军,张睿.基于遗传算法与密度及距离计算的聚类方法[J].计算机应用,2015,35(11):3243-3246.(WANG Ze,ZHANG Hong-jun,ZHANG Rui.Clustering by density and distance analysis based on genetic algorithm[J].Journal of Computer Applications,2015,35(11):3243-3246.)
[12]李雅,黄少滨,李艳梅,等.基于遗传算法的反例理解[J].哈尔滨工程大学学报,2016,37(10):1-7.(LI Ya,HUANG Shao-bin,LI Yan-mei,et al.Counterexample explanation based on genetic algorithm[J].Journal of Harbin Engineering University,2016,37(10):1-7.)
[13]李南生,杨新,李幸周.边坡稳定制约下土石坝截面优化遗传算法[J].沈阳工业大学学报,2015,37(2):200-206.(LI Nan-sheng,YANG Xin,LI Xing-zhou.Sectional optimization genetic algorithm of earth-rockfill dam subjected to slope stability constraint[J].Journal of Shengyang University of Technology,2015,37(2):200-206.)
[14]马永杰,云文霞.遗传算法研究进展[J].计算机应用研究,2012,29(4):1201-1206.(MA Yong-jie,YUN Wen-xia.Research progress of genetic algorithm[J].Application Research of Computers,2012,29(4):1201-1206.)
[2]刘梦涵,崔碧峰,何新,等.大功率低阈值半导体激光器研究[J].中国激光,2016,43(5):1-6.(LIU Meng-han,CUI Bi-feng,HE Xin,et al.Study of high pow er semiconductor laser w ith low threshold current[J].Chinese Journal of Lasers,2016,43(5):1-6.)
[3]刘泽利.用于气体检测的高精度DFB激光器温控系统[J].激光杂志,2014,35(12):82-84.(LIU Ze-li.High-precision DFB laser temperature control system used in gas detection field[J].Laser Journal,2014,35(12):82-84.)
[4]黄德修.半导体光电子学[M].北京:电子工业出版社,2013.(HUANG De-xiu.Semiconductor optoelectronics[M].Beijing:Publishing House of Electronics Industry,2013.)
[5]汪灵,叶会英,赵闻.半导体激光器温度控制系统设计与算法仿真[J].仪表技术与传感器,2013(5):95-98.(WANG Ling,YE Hui-ying,ZHAO Wen.Design and simulation algorithm of temperature control system of diode laser[J].Instrument Technique and Sensor,2013(5):95-98.)
[6]黄渐强,翟冰,何启欣,等.用于气体检测的近红外半导体激光器温控系统[J].光子学报,2014,43(6):1-5.(HUANG Jian-qiang,ZHAI Bing,HE Qi-xin,et al.A temperature controller for near-infrared semiconductor laser used in gas detection[J].Acta Photonica Sinica,2014,43(6):1-5.)
[7]陈刚,张方正,潘时龙.一种新型分布反馈半导体激光器的多信号直调性能研究[J].光子学报,2013,42(9):1-7.(CHEN Gang,ZHANG Fang-zheng,PAN Shi-long.An investigation on the multi-signal direct modulation of a reconstruction-equivalent-chirp distributed feedback laser diode[J].Acta Photonica Sinica,2013,42(9):1-7.)
[8]崔国栋,吕伟强,郑毅.大功率半导体激光器温度控制系统的设计[J].激光与红外,2015,45(5):568-570.(CUI Guo-dong,LWei-qiang,ZHENG Yi.Design of temperature control system of high pow er semiconductor laser[J].Laser&Infrared,2015,45(5):568-570.)
[9]田振华,孙成林,曹军胜,等.准连续输出大功率半导体激光器的结温测试[J].光学精密工程,2011,19(6):1244-1249.(TIAN Zhen-hua,SUN Cheng-lin,CAO Jun-sheng,et al.Junction temperature measurement of high pow er diode lasers[J].Optics and Precision Engineering,2011,19(6):1244-1249.)
[10]李健,陈晨,薛顶柱,等.基于PID算法的激光器恒温控制系统的设计[J].激光杂志,2015,36(4):38-41.(LI Jian,CHEN Chen,XUE Ding-zhu,et al.The design of temperature control for laser based on PID algorithm[J].Laser Journal,2015,36(4):38-41.)
[11]王泽,张宏军,张睿.基于遗传算法与密度及距离计算的聚类方法[J].计算机应用,2015,35(11):3243-3246.(WANG Ze,ZHANG Hong-jun,ZHANG Rui.Clustering by density and distance analysis based on genetic algorithm[J].Journal of Computer Applications,2015,35(11):3243-3246.)
[12]李雅,黄少滨,李艳梅,等.基于遗传算法的反例理解[J].哈尔滨工程大学学报,2016,37(10):1-7.(LI Ya,HUANG Shao-bin,LI Yan-mei,et al.Counterexample explanation based on genetic algorithm[J].Journal of Harbin Engineering University,2016,37(10):1-7.)
[13]李南生,杨新,李幸周.边坡稳定制约下土石坝截面优化遗传算法[J].沈阳工业大学学报,2015,37(2):200-206.(LI Nan-sheng,YANG Xin,LI Xing-zhou.Sectional optimization genetic algorithm of earth-rockfill dam subjected to slope stability constraint[J].Journal of Shengyang University of Technology,2015,37(2):200-206.)
[14]马永杰,云文霞.遗传算法研究进展[J].计算机应用研究,2012,29(4):1201-1206.(MA Yong-jie,YUN Wen-xia.Research progress of genetic algorithm[J].Application Research of Computers,2012,29(4):1201-1206.)