首页|基于自适应增强型复系数滤波器的多电飞机变频电网状态估计

基于自适应增强型复系数滤波器的多电飞机变频电网状态估计

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多电飞机的电网是一种典型的孤岛微网,具有360~800 Hz的宽频率工作范围,传统恒定频率电网同步方法的动态性能在飞机变频电网中有所不足。为了准确估计飞机变频电网的电网状态,结合自适应模块,对增强型复系数滤波器锁相环进行改进,设计了一种适应于MEA变频电网的自适应增强型复系数滤波器锁相环结构(AECCF-PLL)。分析了其传递函数与阶跃响应之间的关系,推导了模型参数与频率的关系,建立了频率自适应模块,满足飞机变频交流电网状态估计对稳定性和快速性的要求。实验结果表明,在飞机变频电网含有大小频率跳变、谐波、斜坡等扰动情况时,提出的AECCF-PLL可以实现对电网状态的快速稳定估计。
State estimation of variable frequency power grid of multi-electric aircraft based on adaptive enhanced complex-coefficient filter
The power grid of a multi-electric aircraft is a typical isolated island microgrid with a wide frequency range from 360 to 800 Hz.The dynamic performance of the traditional constant-frequency power grid synchronization method is insufficient in the variable frequency power grid of the multi-electric aircraft.An adaptive enhanced com-plex-coefficient filter-based phase locked loop(AECCF-PLL)is designed for the variable frequency power grid by integrating an adaptive module into the enhanced complex-coefficient filter-based phase locked loop to accurately estimate the state of variable frequency power grid.The relationship between the transfer function and the step response is analyzed.The relationship between the model parameters and the frequency is derived,and the frequen-cy adaptive module is established to meet the requirements for stability and rapidity in the state estimation of the variable frequency power grid.The experimental results show that the proposed AECCF-PLL can achieve the rapid and stable estimation of the state of the variable frequency power grid when there are disturbances such as large or small frequency jumps,harmonics and slopes.

variable frequency power gridgrid synchronizationadaptive frequencyphase locked loop

胡欣、郭梦洁、张震、马瑞卿、段晨东

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长安大学能源与电气工程学院,陕西西安 710064

西北工业大学自动化学院,陕西西安 710129

变频电网 电网同步 频率自适应 锁相环

航空科学基金陕西省自然科学基础研究计划陕西省重点研发计划西安市重点产业链陕西省秦创原"科学家+工程师"队伍建设项目

202200190Q60022023JC-YB-4502023-YBGY-09423ZDCYJSGG0013-20232024QCY-KXJ-161

2024

西北工业大学学报
西北工业大学

西北工业大学学报

CSTPCD北大核心
影响因子:0.496
ISSN:1000-2758
年,卷(期):2024.42(3)