电气传动2024，Vol.54Issue(5)：20-25,6.DOI:10.19457/j.1001-2095.dqcd24368
改进单神经元PI的三相PWM整流器电压控制
Three-phase PWM Rectifier Voltage Control Based on Improved Single Neuron PI
摘要
Abstract
Aiming at the problem of large output voltage fluctuation and long recovery time of three-phase pulse-width modulation(PWM)rectifiers when the load changes,an improved single-neuron gradient learning control strategy was proposed.Due to the poor adaptability of the traditional PI controller parameters when the load changes,a single neuron PI control was adopted in the voltage outer loop,and the gradient descent method was used to adjust the weight parameters online.In order to avoid falling into a local optimal solution during the solution process,a stochastic gradient descent algorithm with restart function(SGDR)was used,and cosine annealing was used to change the learning rate of the weights to improve the convergence performance of the algorithm.Through Matlab and hardware-in-the-loop simulation experiments,the dynamic response performance of the voltage outer loop of the three-phase PWM rectifier under different control algorithms was compared and analyzed.The results show that the three-phase PWM rectifier controlled by the improved single neuron PI algorithm has smaller voltage fluctuation,faster dynamic response and more stable operating state when the load changes.关键词
整流器/电压外环/单神经元/梯度学习/余弦退火/负载扰动Key words
rectifier/voltage outer loop/single neuron/gradient learning/cosine annealing/load perturbation分类
信息技术与安全科学引用本文复制引用
夏涛,刘亮,张仰飞,刘海涛,孟高军..改进单神经元PI的三相PWM整流器电压控制[J].电气传动,2024,54(5):20-25,6.基金项目
江苏省自然科学基金青年基金(BK20201034) （BK20201034）
江苏省配电网智能技术与装备协同创新中心(XTCX202002) （XTCX202002）
江苏高校自然科学研究面上项目基金(20KJB470028) （20KJB470028）
南京工程学院科研启动金(YKJ2019115) （YKJ2019115）
