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|Title:||Tuning a PID controller using particle swarm optimization (PSO)||Authors:||Halby, Angie Al
Bouty, Elie El
|Advisors:||Dagher, Issam||Subjects:||PID controllers
The aim of this project is to tune a PID controller using artificial intelligence. The standard gain tuning of PID controllers such as Ziegler-Nichols, Coheen-Coon etc… tend to present big overshoots, and therefore artificial intelligence approach such as ant colony optimization and genetic algorithms are more adopted to enhance the results of standard techniques. However, due to computational efficiency, the main focus will be on the particle swarm optimization method (PSO). A comparison between PID and PSO versus PID and ZN (Ziegler-Nichols) will be represented where the results will show the advantage of PSO in PID tuning.
Includes bibliographical references (p.33-34).
Supervised by Dr. Issam Dagher.
|URI:||https://scholarhub.balamand.edu.lb/handle/uob/4031||Rights:||This object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holder||Ezproxy URL:||Link to full text||Type:||Thesis|
|Appears in Collections:||UOB Theses and Projects|
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