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  • 标题:Cascaded PI Controller Tuning for Power Plant Superheated Steam Temperature based on Multi-Objective Optimization
  • 本地全文:下载
  • 作者:H. Fu ; L. Pan ; Y.L. Xue
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:3227-3231
  • DOI:10.1016/j.ifacol.2017.08.447
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractTo improve the superheated steam temperature (SST) control performance, this paper considers the conflicting objectives in SST control, multi-objective optimization (MOO) algorithm is employed in this paper. Firstly, the inner-loop PI controller is optimized by considering the objectives of set-point tracking and disturbance rejection, with and without constraints on robustness level. It is found that robustness constraint is essential in the optimization. Secondly, the regulation performance of the outer-loop PI controller is addressed by optimizing the disturbance rejection and robustness simultaneously. The parameter are determined based on the simulation comparison between the non-dominated solutions. The simulation results demonstrate a promising prospect of promoting the proposed strategy to more industrial practices.
  • 关键词:KeywordsPower plant controlPareto optimizationSuperheated steam temperatureDisturbance rejectionRobustness
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