Stability and noises evaluation of Fuzzy/Kalman UAV navigation system

In this paper a new Fuzzy/Kalman navigation system for Unmanned Aerial Vehicles (UAV) is presented. A closed loop velocity Fuzzy navigation system is proposed for stabilizing the UAV in a reference trajectory generated dynamically and for obtaining a forward velocity command. The Kalman's filter (KF) is included in the feedback line of the fuzzy control system to filter the internal noise of the sensors and to evaluate the external noise due to possible perturbations of the nominal motion. The efficiency of the navigation system has been shown through experimental tests in a Matlab environment.

• Type: Conference
• Year: 2009
• Where: CDC
• Authors: Francesco Maria Raimondi, Maurizio Melluso
• Keywords: CDC 2009, Control Systems, Forward Velocity Command, Unmanned Aerial Vehicles, Velocity Fuzzy Navigation