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Improving control algorithms with data estimation

Grant number: 13/18562-5
Support type:Scholarships abroad - Research Internship - Doctorate (Direct)
Effective date (Start): April 22, 2014
Effective date (End): April 21, 2015
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Principal researcher:Kalinka Regina Lucas Jaquie Castelo Branco
Grantee:Natassya Barlate Floro da Silva
Supervisor abroad: Salah Sukkarieh
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Research place: University of Sydney, Australia  
Associated to the scholarship:12/13641-1 - A control system focused on minimizing drift: specification of a VTOL, BP.DD

Abstract

UAVs (Unmanned Aerial Vehicles) are aircraft that can fly autonomously and nowadays can be used in different applications. What enables these aircrafts to follow a pre-programmed flight path is the autonomous control system, responsible for keeping the aircraft stable and for performing navigation tasks. This research internship abroad is inserted in the context of the development of an autonomous control system for a specific aircraft that can take off and land vertically. The aim of this internship is to study statistical estimation techniques to perform data fusion with the aircraft sensors, thus improving the control itself and its stabilization. (AU)

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