I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm : A Study Based on Various Error Criterion
Joint Authors
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper proposes a novel method to tune the I-PD controller structure for the time-delayed unstable process (TDUP) using Bacterial Foraging Optimization (BFO) algorithm.
The tuning process is focussed to search the optimal controller parameters (Kp, Ki, Kd) by minimising the multiple objective performance criterion.
A comparative study on various cost functions like Integral of Squared Error (ISE), Integral of Absolute Error (IAE), Integral of Time-weighted Squared Error (ITSE), and Integral of Time weighted Absolute Error (ITAE) have been attempted for a class of TDUP.
A simulation study for BFO-based I-PD tuning has been done to validate the performance of the proposed method.
The results show that the tuning approach is a model independent approach and provides enhanced performance for the setpoint tracking with improved time domain specifications.
American Psychological Association (APA)
Rajinikanth, V.& Latha, K.. 2012. I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm : A Study Based on Various Error Criterion. Applied Computational Intelligence and Soft Computing،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-464012
Modern Language Association (MLA)
Rajinikanth, V.& Latha, K.. I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm : A Study Based on Various Error Criterion. Applied Computational Intelligence and Soft Computing No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-464012
American Medical Association (AMA)
Rajinikanth, V.& Latha, K.. I-PD Controller Tuning for Unstable System Using Bacterial Foraging Algorithm : A Study Based on Various Error Criterion. Applied Computational Intelligence and Soft Computing. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-464012
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-464012