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高性能感应电机电流控制方法分析与比较
引用本文:张承进,程金路.高性能感应电机电流控制方法分析与比较[J].控制工程,2006,13(2):97-101.
作者姓名:张承进  程金路
作者单位:山东大学,控制科学与工程学院,山东,济南,250061;山东大学,控制科学与工程学院,山东,济南,250061
基金项目:中国科学院资助项目;山东省青年科学家科研奖励基金
摘    要:简要地综述了高性能感应电机电流控制技术的最新进展。重点分析了以控制理论为基础的基于模型的方法,主要包括滞环电流控制、比例积分控制、有限拍控制。介绍了它们的基本工作原理,讨论了它们目前存在的不足之处以及针对这些问题近期的研究工作提出的解决办法。同时也对基于神经网络和模糊逻辑的智能控制策略进行了分析,它们为电流控制的发展开拓了新的思路。最后系统地比较了各种方法的控制性能并且初步探讨了该领域今后的发展趋势。

关 键 词:感应电机  电流控制  电压源逆变器  滞环控制  比例积分控制  有限拍控制  人工神经网络  模糊控制
文章编号:1671-7848(2006)02-0097-05
收稿时间:2004-11-03
修稿时间:2005-07-15

Analysis and Comparison of Current Controllers for High Performance Induction Machine Drives
ZHANG Cheng-jin,CHENG Jin-lu.Analysis and Comparison of Current Controllers for High Performance Induction Machine Drives[J].Control Engineering of China,2006,13(2):97-101.
Authors:ZHANG Cheng-jin  CHENG Jin-lu
Affiliation:School of Control Science and Engineering, Shandong University, Jinan 250061, China
Abstract:The latest developments of current controllers employed in high performance induction machine drives are reviewed. Attention is focused on the model based approaches such as hysteresis controller,proportional plus integral(PI) regulator and deadbeat controller.Basic principles of each strategy are introduced and particularly their drawbacks as well as recent solutions to deal with these problems are discussed.Artificial neural networks and fuzzy logic based current control techniques are introduced.It is possible that they can offer a new perspective for future research.In the end,performances of all such schemes are compared and some future research interests are also observed.
Keywords:induction machine  current control  vollage source inverter  hysteresis control  PI regulator  deadbeat control  artificial neural network  fuzzy control
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