Objectives:

This research proposes the development and implementation of flight control systems for school's fixed wing UAV. Currently, we have flight tested fuzzy logic and neural network based controllers for simple flight paths. These need to be developed further to include manoeuvring paths and for various types of missions. Development of on-board implementable control logics is a challenging problem for UAVs since the payload capacity is restricted along with restricted computational power. Hence, the development of control algorithms needs to cater for these restrictions and provides the impetus for newer tools.

Contact:

Dr Sreenatha Anavatti s.anavatti@adfa.edu.au

School

School of Engineering & IT

Research Area

Systems & Control

Supervisor