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  • 标题:Optimal design of fractional order PI λD μ controller for an AVR system using Ant Lion Optimizer
  • 本地全文:下载
  • 作者:Bachir Bourouba ; Samir Ladaci ; Horst Schulte
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:13
  • 页码:200-205
  • DOI:10.1016/j.ifacol.2019.11.304
  • 语种:English
  • 出版社:Elsevier
  • 摘要:Application of fractional order PID (FOPID) controller to an automatic voltage regulator (AVR) is presented and studied in this paper. Fractional-order PIλDμcontroller is a generalization of standard PID controller using fractional calculus. Compared to PID controller, the tuning of FOPID is more complex and remains a challenging problem. Indeed, design stage of such a controller consists of determining eleven parameters.This paper proposes a novel population based optimization algorithm called Ant Lion Optimizer algorithm (ALO) for solving the FOPID controller tuning problem. ALO has proved to have very high efficiency. Comparisons are made with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Cultural algorithms (CAs) and multi-objective evolutionary optimizers (MOEO) techniques and it is shown that the proposed FOPID controller can highly improve the system robustness.
  • 关键词:KeywordsAVR SystemFractional order PIλDμcontrolAnt Lion Optimizer algorithm (ALO)Parameters’ adjustment
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