An Ant colony optimization-tuned PID controller servoing metaheuristic for an antenna positioning system
Date of Publication
2008
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Jose Antonio M. Catalan
Defense Panel Chair
Gerino P. Mappatao
Defense Panel Member
Raymond Girard Roca Tan
Rodrigo S. Jamisola, Jr.
Abstract/Summary
The research is an application of Ant Colony Optimization (ACO) in tuning proportional-integral-derivative (PID) gains in control system. It is an antenna positioning system capable of positioning itself to achieve optimum signal reception. An antenna system capable of 360 rotation, driven by a servo motor, will be interfaced to a computer which serves as the controller. ACO together with Suyama tuning is used to optimize the value of the gains. This research will provide a new test-bed for the application of ACO-Suyama PID tuning technique to an antenna positioning system. This provides an alternative to the existing antenna positioning systems, which is usually manually controlled. Our results show the advantages of this new approach over more traditional, i.e. manual PID tuning. It can offer an effective way of controlling an antenna system. Furthermore, it can be used to improve signal reception, line of sight propagation and possibly be applied to existing communication systems, such as in satellite communication systems.
Abstract Format
html
Language
English
Format
Accession Number
TU14852
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various foliations) : ill. (some col.) ; 28 cm.
Keywords
Mathematical optimization; Ants--Behavior--Mathematical models; PID controllers"
Recommended Citation
Cabello, R. E., Pamatmat, C. L., Pardo, L. A., & Ty, C. O. (2008). An Ant colony optimization-tuned PID controller servoing metaheuristic for an antenna positioning system. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14453