An Ant colony optimization-tuned PID controller servoing metaheuristic for an antenna positioning system

• Main Authors: Cabello, Ralph Christian E., Pamatmat, Charles Jordan L., Pardo, Lloyd A., Ty, Carlu Wilson O., II
• Format: text
• Language: English
• Published: Animo Repository 2008
• Subjects: Mathematical optimization; Ants > Behavior > Mathematical models; PID controllers"
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14453
• Institution: De La Salle University

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.