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Status Report #2 UAV - Adaptable Fuzzy logic controller
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STATUS REPORT #2 UAV - ADAPTABLE FUZZY LOGIC CONTROLLER Team #9 Julian Jaramillo Craig Cobabe Edward Robinson Chris Pitts Sep 17, 2012 Create a fuzzy logic controller that utilizes a neural network to control a wide range of aerial vehicles.
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Status Report #2 UAV - Adaptable Fuzzy logic controller. Sep 17, 2012. Team #9 Julian Jaramillo Craig Cobabe Edward Robinson Chris Pitts. Create a fuzzy logic controller that utilizes a neural network to control a wide range of aerial vehicles. . Overall Need. - PowerPoint PPT Presentation
Transcript of Status Report #2 UAV - Adaptable Fuzzy logic controller
STATUS REPORT #2UAV - ADAPTABLE FUZZY
LOGIC CONTROLLER
Team #9Julian JaramilloCraig CobabeEdward RobinsonChris Pitts
Sep 17, 2012
Create a fuzzy logic controller that utilizes a neural network to control a
wide range of aerial vehicles.
OVERALL NEED UAV’s are better than manned systems for many
tasks. However, UAV’s are hard to integrate because creating attitude feedback controllers is difficult. Milestones Fuzzy library code – 9/28/12
Neural Network integration – 10/26/12
Simulation and real flight testing – 11/12/12
TASKS COMPLETED Successfully simulated fuzzy control
over pitch via HIL Interfaced parameters through mavlink Compiled example code utilizing CUDA
NN Libs Solved some controller issues using
simulation. Flight test after rebuild
Crashed T-Rex 450… Again Replaced broken gears in T-Rex 450
ONGOING/PENDING TASKSOngoing Real flight testing of PI controllers with T-
Rex 450 Coding
Pending Tune Model in RC simulator based on real
flight tests More simlations HIL with fuzzy controller –
newly interfaced parameters
UPCOMING TASKS GUI Programming
Neural Network
Tuning the RC helicopter model
Flight testing of Fuzzy controller
10%
15%
15%BLOCK DIAGRAM
CURRENT SCHEDULE
SOME NOTES NEED VIDEO OF LATEST TEST FLIGHT SO
ICAN EMBED IN SLIDES.
