Optimal PID tuning by using bacteria foraging optimization algorithm
Joint Authors
al-Hanjuri, Muhammad
al-Ghamri, Ramzi Jasir Hasan
Source
Publisher
Islamic University of Gaza Faculty of Engineering
Publication Date
2012-10-31
Country of Publication
Palestine (Gaza Strip)
No. of Pages
9
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
English Abstract
Recently, many algorithms used to make tuning for PID controller parameters for different applications.
PID controller gives us control of both transient and steady state response, and decreases the characteristics elements such as overshoot, steady state error, settling time, and rising time, and makes the system stable and robust.
But the problem is how to choose the PID parameters to achieve a desired response.
In this work we will present the bacteria foraging optimization algorithm (BFOA) as a novel algorithm using the social foraging behaviour for escherichia coli bacteria to make tuning for PID parameters for an experimental plant system.
Comparing with practical swarm optimization (PSO), this proposed algorithm was more efficient in improving the step response characteristic for this system.
Data Type
Conference Papers
Record ID
BIM-777221
American Psychological Association (APA)
al-Hanjuri, Muhammad& al-Ghamri, Ramzi Jasir Hasan. 2012-10-31. Optimal PID tuning by using bacteria foraging optimization algorithm. . , pp.1-9.Gaza Palestine : Islamic University of Gaza Faculty of Engineering.
https://search.emarefa.net/detail/BIM-777221
Modern Language Association (MLA)
al-Hanjuri, Muhammad& al-Ghamri, Ramzi Jasir Hasan. Optimal PID tuning by using bacteria foraging optimization algorithm. . Gaza Palestine : Islamic University of Gaza Faculty of Engineering. 2012-10-31.
https://search.emarefa.net/detail/BIM-777221
American Medical Association (AMA)
al-Hanjuri, Muhammad& al-Ghamri, Ramzi Jasir Hasan. Optimal PID tuning by using bacteria foraging optimization algorithm. .
https://search.emarefa.net/detail/BIM-777221
