Double-loop control and intelligent parameter tuning for the temperature control system of a DBR semiconductor laser
| Autor: | Chen Wei, Yueyang Zhai, Zhuo Wang, Wei Quan, Li Xiufei, Xiaolin Ning |
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| Rok vydání: | 2021 |
| Předmět: |
Temperature control
Computer science Settling time business.industry Process (computing) Thermal load Laser Distributed Bragg reflector 01 natural sciences Atomic and Molecular Physics and Optics law.invention Semiconductor laser theory 010309 optics Optics law Control theory 0103 physical sciences Thermal Equivalent circuit Electrical and Electronic Engineering business Engineering (miscellaneous) |
| Zdroj: | Applied optics. 60(2) |
| ISSN: | 1539-4522 |
| Popis: | Aiming at lower startup power consumption, stronger thermal load adaptability, easier parameters adjustment, and higher parameter tuning efficiency for the temperature control system of a distributed Bragg reflector (DBR) semiconductor laser, this paper employs the double-loop control and intelligent parameter tuning methods. First, the thermal equivalent circuit model is established for the laser temperature control system, which has stronger thermal load adaptability than the traditional transfer function model. In order to improve the modeling speed and accuracy, a mean impact value (MIV) quantum particle swarm optimization (QPSO) intelligent algorithm is proposed to tune the model parameters. A double-loop temperature control system is set up on this basis. Then, the MIV-QPSO intelligent algorithm is used to tune the control parameters, which shortens the settling time, increases the tuning efficiency, and improves the temperature control effect. The feasibility and effectiveness of the proposed methods are verified through the MATLAB/Simulink simulation of the laser temperature control process. |
| Databáze: | OpenAIRE |
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