NDLI: Shift based adaptive differential evolution for PID controller designs using swarm intelligence algorithm

Content Provider	Springer Nature Link
Author	Zhang, Xiu Zhang, Xin
Copyright Year	2016
Abstract	Proportional-integral-derivative (PID) controllers are the most popular control systems equipped in industries due to their simplicity, effectiveness, and functionality. In this article, an adaptive differential evolution (DE) algorithm is presented to tune controller parameters of PID systems. The proposed algorithm uses shift based parameter control and pseudo population reduction procedures. All algorithmic parameters of DE are adapted and no additional parameter is introduced. A set of three typical control instances is taken to study the performance of the proposed algorithm. Four recently reported DE algorithms are chosen as baselines. Through numerical experiment, it turns out that the proposed algorithm yields better performance than the four baseline DE algorithms. Moreover, the proposed algorithm has a better scalability and reliability than other test algorithms.
Starting Page	291
Ending Page	299
Page Count	9
File Format	PDF
ISSN	13867857
Journal	Cluster Computing
Volume Number	20
Issue Number	1
e-ISSN	15737543
Language	English
Publisher	Springer US
Publisher Date	2016-11-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	PID control Differential evolution Parameter control Swarm intelligence Shift based operation Processor Architectures Operating Systems Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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