STATUS REPORT #5UAV - ADAPTABLE FUZZY

LOGIC CONTROLLER

Team #9

Julian Jaramillo

Craig Cobabe

Edward Robinson

Chris Pitts

Oct 15, 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 Tuned PI gains for attitude controllers

Verified simulator model will workException – yaw control

Website

ONGOING/PENDING TASKSOngoing Beginning testing fuzzy controller in

simulator. Make a more user friendly gui Repair helicopter

Pending Real flight testing with fuzzy controllers

UPCOMING TASKS Begin first draft of final report

10%

15%

15%BLOCK DIAGRAM

95%

50%

CURRENT SCHEDULE