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CLC number: TP391

On-line Access: 2018-05-07

Received: 2016-08-23

Revision Accepted: 2017-02-14

Crosschecked: 2018-03-10

Cited: 0

Clicked: 1811

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Pritesh Shah

http://orcid.org/0000-0002-7504-2323

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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.3 P.437-445

http://doi.org/10.1631/FITEE.1601495


Design of a fractional PIλDμ controller using the cohort intelligence method


Author(s):  Pritesh Shah, Sudhir Agashe, Anand J. Kulkarni

Affiliation(s):  Symbiosis Institute of Technology, Symbiosis International University, Pune 412115, India; more

Corresponding email(s):   pritesh.ic@gmail.com

Key Words:  Cohort intelligence, Fractional calculus, Fractional PID controller, Tuning


Pritesh Shah, Sudhir Agashe, Anand J. Kulkarni. Design of a fractional PIλDμ controller using the cohort intelligence method[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(3): 437-445.

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author="Pritesh Shah, Sudhir Agashe, Anand J. Kulkarni",
journal="Frontiers of Information Technology & Electronic Engineering",
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pages="437-445",
year="2018",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1601495"
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%A Anand J. Kulkarni
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A1 - Pritesh Shah
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Abstract: 
The cohort intelligence (CI) method has recently evolved as an optimization method based on artificial intelligence. We use the CI method for the first time to optimize the parameters of the fractional proportional-integral-derivative (PID) controller. The performance of the CI method in designing the fractional PID controller was validated and compared with those of some other popular algorithms such as particle swarm optimization, the genetic algorithm, and the improved electromagnetic algorithm. The CI method yielded improved solutions in terms of the cost function, computing time, and function evaluations in comparison with the other three algorithms. In addition, the standard deviations of the CI method demonstrated the robustness of the proposed algorithm in solving control problems.

基于队列智能方法的分数阶PIλDμ控制器设计

概要:近年来,队列智能方法逐步演变为一种基于人工智能的优化方法。本文首次采用队列智能方法对分数阶PID控制器的参数进行优化。验证了队列智能方法在分数阶PID控制器设计中的性能,并与其他方法如粒子群优化方法、遗传算法和改进的电磁算法等的性能进行比较。结果表明,与其它3种算法相比,队列智能方法在代价函数、计算时间和函数评估方面表现出更好性能。此外,队列智能方法对应的标准差表明,提出的方法在解决控制问题时具有鲁棒性。

关键词:队列智能;分数阶微积分;分数阶PID控制器;调节

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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