Computer Engineering and Applications ›› 2018, Vol. 54 ›› Issue (21): 224-229.DOI: 10.3778/j.issn.1002-8331.1707-0130

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Design of optimized fractional order internal model controller for complex system

LIU Peng, WANG Moqi, YAO Minglin   

  1. College of Intelligence and Information Engineering, Tangshan University, Tangshan, Hebei 063000, China
  • Online:2018-11-01 Published:2018-10-30


刘  鹏,王墨琦,姚明林   

  1. 唐山学院 智能与信息工程学院,河北 唐山 063000

Abstract: A design method of optimized Fractional Order Internal Model Controller(FOIMC) is proposed for  complex systems. A Seeker Optimization Algorithm(SOA) with chaos operators is used to reduce and simplify the system model. Based on this above, a new FOIMC is designed and the optimization parameters tuning is achieved. The simulation results show that the reduction mode approximate the original system with a good accuracy, and the designed controller can provide a good dynamic performance and a better robustness against the parameters perturbation of the system.

Key words: seeker optimization algorithm, fractional order controller, internal model control, parameter tuning

摘要: 针对复杂系统提出了一种最优分数阶内模控制器设计方法。引入一种带混沌算子的人群搜索优化算法(Seeker Optimization Algorithm,SOA)将系统模型降阶简化,在此基础上完成了一种新的分数阶内模控制器的设计和参数最优整定。仿真结果表明,降阶模型很好地逼近了原系统,设计的控制器可以使系统具有良好的动态性能及克服参数变化的鲁棒性。

关键词: 人群搜索算法, 分数阶控制器, 内模控制, 参数整定