Optimization of chaotic light output in semiconductor laser systems based on multi-objective optimization algorithm.

Area of Science:

• Optoelectronics
• Control Systems Engineering

Background:

• Semiconductor laser systems often exhibit weak performance due to chaotic light output.
• Existing control methods may struggle with stability and rapid response to disturbances.

Purpose of the Study:

• To design and evaluate a novel power control algorithm for semiconductor laser drive systems.
• To optimize chaotic optical performance and enhance communication security.

Main Methods:

• Development of a power control algorithm based on linear self-disturbance rejection control.
• Integration of multi-objective optimization and direction preference algorithms.
• Construction of a chaotic optical performance optimization model using an improved multi-objective genetic algorithm with adaptive functions.

Main Results:

• The linear active disturbance rejection control algorithm demonstrated superior stability and maintained set voltage and current values during sudden load changes.
• Compared to PID, the proposed algorithm significantly reduced current ripple (0.55% for PID).
• The directional preference algorithm enhanced the solutions provided by adaptive genetic algorithms, effectively suppressing chaotic light delay characteristics at a peak autocorrelation function value of 0.2, resulting in strong signal bandwidth and complexity.

Conclusions:

• The developed model effectively optimizes chaotic optical performance in semiconductor laser systems.
• The approach offers significant positive implications for enhancing communication security through improved laser output control.