Improving control algorithms with data estimation

• Grant number: 13/18562-5
• Support Opportunities: 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 Investigator: Kalinka Regina Lucas Jaquie Castelo Branco
• Grantee: Natassya Barlate Floro da Silva
• Supervisor: Salah Sukkarieh
• Host 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)