A FPGA-based real-time particle swarm optimization for temperature control of semiconductor laser

Yongtao Jian; Huaqiu Deng

doi:10.1117/12.2674043

9 March 2023 A FPGA-based real-time particle swarm optimization for temperature control of semiconductor laser

Yongtao Jian, Huaqiu Deng

Proceedings Volume 12600, International Conference on Optoelectronic Materials and Devices (ICOMD 2022); 126001S (2023) https://doi.org/10.1117/12.2674043
Event: 2022 International Conference on Optoelectronic Materials and Devices, 2022, Chongqing, China

Abstract

The output power and wavelength of semiconductor lasers are mainly affected by operating temperature. In order to improve the stability of Laser Diode (LD), a temperature control system is designed in this paper. This system adopts an advanced Particle Swarm Optimization (PSO) algorithm to resolve real-time Proportional-Integral-Derivative (PID) parameters for different input, which is implemented on field-programmable gate arrays (FPGA) with excellent parallel performance. Experimental results show that the LD can stabilize with temperature stability of 0.20% within 1 hour of operation, output optical power stability of 0.05%, and the deviation of optical wavelength 0.03𝑛𝑚.

Citation Download Citation

Yongtao Jian and Huaqiu Deng "A FPGA-based real-time particle swarm optimization for temperature control of semiconductor laser", Proc. SPIE 12600, International Conference on Optoelectronic Materials and Devices (ICOMD 2022), 126001S (9 March 2023); https://doi.org/10.1117/12.2674043

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