Full Text:   <701>

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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


Pritesh Shah


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


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",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Design of a fractional PIλDμ controller using the cohort intelligence method
%A Pritesh Shah
%A Sudhir Agashe
%A Anand J. Kulkarni
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 3
%P 437-445
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1601495

T1 - Design of a fractional PIλDμ controller using the cohort intelligence method
A1 - Pritesh Shah
A1 - Sudhir Agashe
A1 - Anand J. Kulkarni
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 3
SP - 437
EP - 445
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.1601495

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.




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


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