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

Print

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"

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