Optimal Control Management for Aerial Vehicle Payload by Taguchi Method

Recent developments of automated aerial vehicles have led to an astonishing increase its utilization. Their accessibility to many areas make them very effective. For that reason, micro aerial vehicles are of increasing demand for development. Because of their sizes, not only the ability for them to carry payloads are stringent, they are also subject to unsteady aerodynamics. It is thus important to provide optimal lift to effect the mission. Yet, its unsteady nature renders it difficult to seek and manage optimal control. Here, this investigation uses actual flight data to deduce the parameters most correlated to the generation of forces, and thereby carrying sufficient payload. The Taguchi method is used and is validated with ANOVA in deducing the parameters, that the aerodynamic forces are most susceptible to. Results show that the velocity and the center gravity most affect the generation of such forces.