基于粒子群算法的半导体激光器温度控制优化

Temperature Control Optimization for Semiconductor Laser Diode Based on Particle Swarm Optimization

半导体激光器输出波长随温度变化而变化,为了使半导体激光器稳定工作,要保持它的温度稳定,而温度PID控制效果与其比例、积分和微分三个参数密切相关,采用粒子群算法对半导体激光器温度PID控制系统参数进行优化,选取控制误差绝对值时间积分函数(ITAE)作为适宜度函数,并与Ziegler-Nichols算法整定参数进行比较。仿真结果表明,这种优化算法加快了收敛速度,实验中调节时间由150s降到50s,超调量由18%降到4%,有效改善了系统的动态性能。

The wavelength of semiconductor laser diode（LD） varies with the temperature, therefore the temperature must be controlled very accurately so that LI） can work stably. The effect of PID control for temperature is closely related to its inte- gral and proportion of differential three parameters. The paper uses particle swarm optimization to optimize the PID parame- ter of temperature control system for LD, selects ITAE as the fitness function, and compares the control result based on pa- rameter from PSO and Z-N. The simulation result shows that this optimized algorithm accelerates the convergence, the set- ting time of system is cut down from 150 s to 50 s, the maximum overshoot of system is reduced from 18% to 4%. The dy- namic performance of system, is effectively improved.