status report #6 uav - adaptable fuzzy logic controller

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STATUS REPORT #6 UAV - ADAPTABLE FUZZY LOGIC CONTROLLER Team #9 Julian Jaramillo Craig Cobabe Edward Robinson Chris Pitts Oct 22, 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 #6 UAV - Adaptable Fuzzy logic controller. Oct 22 , 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

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Page 1: Status Report #6 UAV - Adaptable Fuzzy logic controller

STATUS REPORT #6UAV - ADAPTABLE FUZZY

LOGIC CONTROLLER

Team #9Julian JaramilloCraig CobabeEdward RobinsonChris Pitts

Oct 22, 2012

Create a fuzzy logic controller that utilizes a neural network to control a

wide range of aerial vehicles.

Page 2: Status Report #6 UAV - Adaptable Fuzzy logic controller

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

Version 2 of GUI – 10/29/12

Simulation and real flight testing – 11/12/12

Page 3: Status Report #6 UAV - Adaptable Fuzzy logic controller

TASKS COMPLETED Verified simulator model will work

Exception – yaw control

Website

Helicopter Rebuilt

Fuzzy Controller for Pitch

Page 4: Status Report #6 UAV - Adaptable Fuzzy logic controller

ONGOING/PENDING TASKSOngoing Test fuzzy controller for in simulator.

Real flight testing with fuzzy controllers ( Roll, Yaw)

Make a more user friendly GUI

Pending Demo day poster

Page 5: Status Report #6 UAV - Adaptable Fuzzy logic controller

UPCOMING TASKS First draft of final report

Begin tuning Raptor 90

Page 6: Status Report #6 UAV - Adaptable Fuzzy logic controller

10%

15%

15%BLOCK DIAGRAM

Page 7: Status Report #6 UAV - Adaptable Fuzzy logic controller

CURRENT SCHEDULE