Adaptive Particle Swarm Optimization Applied to Aircraft Control

Authors

Presenter(s)

Ouboti Djaneye-Boundjou

Files

Description

For the longitudinal dynamics of a fixed wing aircraft with rigid frame, a Proportional-Integral (PI) controller for controlling the forward velocity of the aircraft and a gain-scheduled Proportional-Integral-Differential (PID) like controller, with the forward velocity used as the scheduling variable, for controlling the flight path angle of the aircraft are designed. For a set of working PI gains, previously found through an experienced-based design, derivation and tuning of PID gains for a select number of forward velocities is computationally achieved through the use of a stable Adaptive Particle Swarm Optimization algorithm. Several performance measures, normalized so as to suppress differences in scale, are aggregated into the designed cost function.

Publication Date

4-9-2015

Project Designation

Graduate Research

Primary Advisor

Raul E. Ordonez

Primary Advisor's Department

Electrical and Computer Engineering

Keywords

Stander Symposium project

Disciplines

Arts and Humanities | Business | Education | Engineering | Life Sciences | Medicine and Health Sciences | Physical Sciences and Mathematics | Social and Behavioral Sciences

Recommended Citation

"Adaptive Particle Swarm Optimization Applied to Aircraft Control" (2015). Stander Symposium Projects. 650.
https://ecommons.udayton.edu/stander_posters/650