Intelligent Control Semiconductor Laser Reliability Test System

被引:0
|
作者
Hu, Xiaoling [1 ]
Lan, Wensha [2 ]
机构
[1] Beijing Univ Technol, Coll Microelect, Fac Informat Technol, Pingleyuan 100, Beijing 100124, Peoples R China
[2] Tianjin Zhengfang Sci & Technol Dev Co Ltd, Pingleyuan 100, Beijing 100124, Peoples R China
关键词
D O I
10.1109/sslchinaifws49075.2019.9019792
中图分类号
O646 [电化学、电解、磁化学];
学科分类号
081704 ;
摘要
With the development of electronic technology, semiconductor lasers have been widely used in the field of optoelectronics due to their own distinctive features. In order to improve the performance of semiconductor lasers, reliability testing research has become a hot issue at present. In this paper, the intelligent control semiconductor laser reliability test system is described. Its aging and screening process must be controlled by a highly automated, intelligent control system. There are five parts that make up this system: the master control system, the slave control system, the RS-485 serial data interface standard used to communicate between the master unit and the slave unit, the hot stage used to control the test temperature and the power supply includes +5V, +12V, +/- 15V, +24V. The test system is mainly controlled by AT89C51 single -chip microcomputer, which can not only realize the continuous adjustment of the drive current (0-3A), but also realize the continuous adjustment of the aging temperature (room temperature-150 degrees C). Moreover, the system's current control accuracy is up to milliamp, and temperature control accuracy is 0.5 degrees C. The system can also preset the aging current value and the aging temperature value, and display the current working current and working temperature in real time.
引用
收藏
页码:249 / 251
页数:3
相关论文
共 50 条
  • [31] DESIGN AND TEST FOR INTELLIGENT EVALUATION OF INTELLIGENT SYSTEM
    Liu, Dong
    You, Ke
    INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS, 2009, : 20 - 23
  • [32] Design and Test of Control System for Intelligent Kitchen Waste Treatment Equipment
    Han Y.
    Zhang R.
    Lu C.
    Wang G.
    Han X.
    Xu D.
    Nongye Jixie Xuebao/Transactions of the Chinese Society for Agricultural Machinery, 2022, 53 : 161 - 169
  • [33] Intelligent Modeling for Transfer Function Control of DBR Semiconductor Laser at Near-Working Point
    Li, Xiufei
    Wang, Zhuo
    Yu, Lu
    Ning, Xiaolin
    Quan, Wei
    Zhai, Yueyang
    IEEE ACCESS, 2020, 8 : 24514 - 24521
  • [34] Intelligent System Reliability Modeling Methods
    Li, Jiao
    Peng, Wensheng
    Zeng, Zhaoyang
    Li, Chenxi
    Wang, Haochen
    ADVANCES IN SWARM INTELLIGENCE, ICSI 2023, PT II, 2023, 13969 : 307 - 319
  • [35] Intelligent Irrigation System Reliability Simulation
    Yu Song
    Ao Chang-lin
    Chen Hongguang
    ADVANCES IN PRODUCT DEVELOPMENT AND RELIABILITY III, 2012, 544 : 176 - +
  • [36] INTELLIGENT MONITORING AND CONTROL OF SEMICONDUCTOR MANUFACTURING EQUIPMENT
    MURDOCK, JL
    HAYESROTH, B
    IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1991, 6 (06): : 19 - 31
  • [37] Application of Variable Domain Fuzzy PID Control in Semiconductor Laser Temperature Control System
    Zhang Andi
    Zhang Yanrong
    Li Tao
    ACTA OPTICA SINICA, 2021, 41 (12)
  • [38] Automatic Navigation of Intelligent Vehicle Control System based on Laser Sensor
    Han, Yongqi
    Liu, Yi
    Lin, Nan
    MODERN TECHNOLOGIES IN MATERIALS, MECHANICS AND INTELLIGENT SYSTEMS, 2014, 1049 : 661 - 664
  • [39] The Design of Constant Temperature Control System of Semiconductor Laser Based on DSP
    Li, Zhengyan
    Yang, Dongping
    Li, Juanjuan
    Tian, Yuan
    2nd International Conference on Sensors, Instrument and Information Technology (ICSIIT 2015), 2015, : 23 - 27
  • [40] Wafer Test Methods to Improve Semiconductor Die Reliability
    Mann, William R.
    IEEE DESIGN & TEST OF COMPUTERS, 2008, 25 (06): : 528 - 537