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基于IFA-ELM的航空发动机自适应PID控制新方法

焦洋 李秋红 李业波

焦洋, 李秋红, 李业波等 . 基于IFA-ELM的航空发动机自适应PID控制新方法[J]. 北京航空航天大学学报, 2015, 41(3): 530-537. doi: 10.13700/j.bh.1001-5965.2014.0182
引用本文: 焦洋, 李秋红, 李业波等 . 基于IFA-ELM的航空发动机自适应PID控制新方法[J]. 北京航空航天大学学报, 2015, 41(3): 530-537. doi: 10.13700/j.bh.1001-5965.2014.0182
JIAO Yang, LI Qiuhong, LI Yeboet al. New adaptive PID control method based on IFA-ELM for aero-engine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 530-537. doi: 10.13700/j.bh.1001-5965.2014.0182(in Chinese)
Citation: JIAO Yang, LI Qiuhong, LI Yeboet al. New adaptive PID control method based on IFA-ELM for aero-engine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2015, 41(3): 530-537. doi: 10.13700/j.bh.1001-5965.2014.0182(in Chinese)

基于IFA-ELM的航空发动机自适应PID控制新方法

doi: 10.13700/j.bh.1001-5965.2014.0182
详细信息
    作者简介:

    焦洋(1991—),男,河北秦皇岛人,硕士生,jy13661155288@163.com

    通讯作者:

    李秋红(1972—),女,辽宁葫芦岛人,副教授,lqh203@nuaa.edu.cn,研究方向为航空发动机建模、控制与故障诊断.

  • 中图分类号: V233.7

New adaptive PID control method based on IFA-ELM for aero-engine

  • 摘要: 针对大涵道比涡扇发动机强非线性、变参数的特点,提出了一种基于优化极端学习机(ELM)对发动机参数进行预测的自适应PID控制方法.为提高ELM的预测精度和实时性,采用适用于多峰值寻优的改进萤火虫算法(IFA)优化ELM网络参数,形成优化的ELM训练方法IFA-ELM.该算法在保证预测精度的前提下,有效简化了网络规模,并提高了其泛化能力.利用该算法建立发动机风扇转速预测模型,基于该模型,采用梯度下降法在线调整PID参数,提升发动机动态性能.数字仿真验证表明,与常规PID控制相比,基于IFA-ELM的自适应PID法调节时间减少了0.2~1.4s,超调量降低了0.2%~1.5%,验证了该控制方法的有效性.

     

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出版历程
  • 收稿日期:  2014-04-03
  • 网络出版日期:  2015-03-20

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