一种基于延时补偿的电流跟踪控制新方法

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摘要提出一种基于π 补偿Smith预估器和算法改进型神经网络的电流跟踪控制方案。π 补偿预估器的引入有效地补偿了系统控制中的延时, 提高了系统的稳定性能和响应速度;算法改进型神经网络用于优化PI控制器的参数, 以提高系统的补偿精度。同时, 利用ITAE准则给出π 补偿预估器参数与PI控制器参数间的数学关系式。通过算法改进型神经网络可以同时优化两个控制器的参数, 避免了将PI控制器参数与预估器参数分开独立识别的局面, 并降低了PI控制器和π 补偿Smith预估器对电网参数的敏感依赖性。当电网负载发生变化时, 能够利用改进的神经网络算法实时地寻求到最优的控制器参数, 达到理想的控制效果。仿真和实验验证了所提控制策略的有效性。

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	吴敬兵
	罗安
	杨晓峰
	方璐
	马伏军
	徐先勇
	杨翠翠

关键词 ：滤波器, 延时, 粒子群算法, π, 补偿预估器, 神经网络

Abstract：This paper proposes a novel current tracking control scheme, which is based on π compensation Smith predictor and neural network with a modified weight algorithm. The introduction of π compensation Smith predictor has some advantages, such as effectively eliminating system delay, improving system stability and response speed. The neural network is used for optimizing PI controller parameters and then improving control system precision. Meanwhile, obtaining the relation of π compensation Smith predictor parameters and PI controller parameters by ITAE criterion(Integrated Time Absolute Error criterion), which can be utilized to get parameters estimation of two controllers, that avoids the case of separately identifying two controller parameters, and reduces the sensitive dependence on the grid parameters of two controllers. When the loads change, the best parameters of controller can be obtained by improved weights algorithm of neural network. Simulation and experimental results verify the effectiveness of proposed method.

Key words： Active power filter time delay particle swarm optimization π compensation predictor neural network

收稿日期: 2009-10-25 出版日期: 2014-03-20

PACS:

TN713

基金资助:国家自然科学基金(60774043)和国家973计划(2009CB219706)资助项目。

作者简介: 吴敬兵男, 1982年生, 博士研究生, 主要从事有源电力滤波器和无功补偿技术的研究。罗安男, 1957年生, 教授, 博士生导师, 主要从事电力有源滤波、无功补偿和控制理论和技术等方面的教学与科研工作。

引用本文:

吴敬兵, 罗安, 杨晓峰, 方璐, 马伏军, 徐先勇, 杨翠翠. 一种基于延时补偿的电流跟踪控制新方法[J]. 电工技术学报, 2012, 27(4): 123-130. Wu Jingbing, Luo An, Yang Xiaofeng, Fang Lu, Ma Fujun, Xu Xianyong, Yang Cuicui. A Novel Current Tracking Control Method Based on Delay Compensation. Transactions of China Electrotechnical Society, 2012, 27(4): 123-130.

链接本文:

http://dgjsxb.ces-transaction.com/CN/Y2012/V27/I4/123

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