Presenter(s)
Ouboti Djaneye-Boundjou
Files
Download Project (2.5 MB)
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
![Adaptive Particle Swarm Optimization Applied to Aircraft Control](https://ecommons.udayton.edu/stander_posters/1641/thumbnail.jpg)
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