王磊;杜晓强;宋永端;

• 1:重庆大学自动化学院
• 2:电子科技大学能源科学与工程学院

摘要(Abstract)：

提出了种应用于飞轮储能系统的神经元自适应比例?积分?微分(proportional integral differential,PID)控制算法。该算法基于传统的双闭环调速系统与神经网络理论,实现对飞轮驱动电机的控制,使飞轮驱动电机能够根据系统要求,驱动飞轮储能单元储存或释放能量。运用李亚普诺夫稳定性理论证明了该控制算法的稳定性和有效性,并给出了其稳定性条件。经过仿真验证,该算法可以有效地实现对飞轮储能单元的充放电控制,其控制参数可以随着系统的运行自适应调节,飞轮储能单元的控制精度和鲁棒性也有所提高。

关键词(KeyWords)： 飞轮储能单元;风力发电机;转速-电流双闭环控制;神经元自适应比例-积分-微分控制;李亚普诺夫理论

Abstract:

Keywords:

基金项目(Foundation): 国家重点基础研究发展计划项目(973项目)(2012CB215200);; 国家自然科学基金项目(51205046)~~

作者(Author): 王磊;杜晓强;宋永端;

Email:

DOI: 10.13335/j.1000-3673.pst.2014.01.012

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