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作 者:龚张顺 杨晚晴 毕胜尧 GONG Zhang-shun;YANG Wan-qing;BI Sheng-yao(Huazhong Institute of Electro-Optics-Wuhan National Laboratory for Optoelectronics,Wuhan 430223,China)
机构地区:[1]华中光电技术研究所—武汉光电国家研究中心,湖北武汉430223
出 处:《光学与光电技术》2024年第4期61-69,共9页Optics & Optoelectronic Technology
摘 要:为解决电光强度调制器传输特性曲线易受环境影响发生漂移的问题,提出了一种基于改进粒子群算法的偏压控制方法。根据马赫-曾德尔电光强度调制器的结构特征,推导了调制器的传输特性曲线,仿真分析了不同偏置电压和射频幅值对调制性能的影响,确定了马赫-曾德尔电光强度调制器的最佳线性工作点为±Quad点。然后介绍了传统粒子群算法的原理,为使粒子群算法在偏压自动控制问题中性能最佳,对粒子群算法进行改进,动态调整惯性权重和粒子群个体分布,构建特定的适应度函数,对多目标参数进行优化。最后仿真分析了改进粒子群算法在偏压自动控制问题中的性能,算法能准确找到最佳线性工作点,并且收敛速度快,同时,将算法移植到自主研制的偏压控制板上,设计对比实验证明了改进粒子群算法能有效跟踪偏压曲线的漂移,调制输出信号波形幅值变化不超过2%,满足长时间使用要求。To address the issue of the transmission characteristic curve of electro-optic intensity modulators being prone to drift due to environmental influences,this paper proposes a bias control method based on an improved particle swarm optimization algorithm.Based on the structural characteristics of the Mach-Zender electro-optic intensity modulator,the transmission characteristic curve of the modulator is derived.The effects of different bias voltages and RF amplitudes on modulation performance are simulated and analyzed.The optimal linear working point of the Mach-Zender electro-optic intensity modulator is determined to be ±Quad point.Then the principle of traditional particle swarm optimization is introduced.In order to optimize the performance of particle swarm optimization in bias automatic control problems,improvements are made to the particle swarm algorithm by dynamically adjusting inertia weights and particle swarm individual distribution,constructing specific fitness functions,and optimizing multi-objective parameters.Finally,the performance of the improved particle swarm optimization algorithm in bias automatic control problems is simulated and analyzed.It can accurately find the optimal linear working point and has a fast convergence speed.At the same time,the algorithm is transplanted to a self-developed bias control board.Comparative experiments are designed to prove that the improved particle swarm optimization algorithm can effectively track the drift of the bias curve.The amplitude change of the modulated output signal waveform does not exceed 2%,which meets the requirements of long-term use.
关 键 词:粒子群算法 电光调制器 偏压控制 线性工作点 多目标优化
分 类 号:TN929.11[电子电信—通信与信息系统]
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