Development of a Multidisciplinary Curriculum for Intelligent Systems

Development of a Multidisciplinary Curriculum for

Intelligent Systems

Dimitris C. Lagoudas, Jeffery E. Froyd

Othon K. RediniotisThomas W. Strganac

John L. ValasekJohn D. Whitcomb

Rita M. Caso

Texas A&M University

Combined Research Curriculum Combined Research Curriculum DevelopmentDevelopment

http://smart.tamu.edu/CRCD


Combined Research and Curriculum Combined Research and Curriculum Development ProjectDevelopment Project

Develop new curriculum track with a certificate on Intelligent Systems.

Track will consist of new courses as well as modifications of existing courses.

Impact will culminate in a year long senior design course dealing with the design of intelligent systems.


Aerospace Engineering Track in Intelligent Aerospace Engineering Track in Intelligent SystemsSystems

Department Course Level

Course# (credit) Instructor

Students Enrolled

Required Elective

Brief Description of Course Innovation

Aerospace Soph. AERO 201 (1)Strganac

30 Required Introduction to Aerospace Engineering

Aerospace Junior AERO 304/306Whitcomb/Lagoudas

20 Required Structural Analysis

Systems Engineering

Junior / Senior

SYEN 489 (3)Rediniotis

20 Technical Elective

Intelligent Structures and Systems

Systems Engineering

Junior / Senior

SYEN 489 (3)Strganac


Fluid-Structure-Control interactions

Aerospace Senior AERO 401 (3)Valasek

20 Required Aerospace Vehicle Design I

Aerospace Senior AERO 402 (2)Valasek

20 Required Aerospace Vehicle Design II

Aerospace Senior

Aero 404 (3)Whitcomb


Mechanics of Advanced Aerospace Structures


New Engineering Minor in Intelligent New Engineering Minor in Intelligent SystemsSystems

Department Course Level Course# (credit) I Students Enrolled

Required/Elective

Brief Description of Course Innovation

Systems Engineering

Junior/Senior SYEN 489 (3)

20 Required Intelligent Structures and Systems

Systems Engineering

Junior/Senior SYEN 489 (3)

20 Required Fluid-Structure-Control Interaction

Aerospace Engineering

Junior AERO 304 (4)

20 Elective Structural Analysis of Active Systems

Mechanics and Materials

Senior

MEMA 471 (3)Whitcomb

20 Elective Analysis and Design of Smart Composite Materials


Senior AERO 401 (3)Valasek

20 Elective Aerospace Vehicle Design I


Senior AERO 402 (2)Valasek

20 Elective Aerospace Vehicle Design II

Mechanical Engineering

Senior MEEN 411 (3) 40 Elective Mechanical Controls

Mechanical Engineering

Senior MEEN 442 (3) 40 Elective Computer Aided Engineering of Intelligent Systems

Chemical Engineering

Senior CHEN 464 (3) 40 Elective Process Control and Instrumentation

Chemical Engineering

Senior CHEN 451 (3) 40 Elective Polymer Engineering

Electrical Engineering

Senior ELEN 476 (3) 40 Elective Neural Networks and Implementation

Electrical Engineering

Senior ELEN 422 (3) 40 Elective Physical Implementation of Intelligent Systems


Activities using Smart MaterialsActivities using Smart Materials

ENGR 111/112 Butterfly demonstration ThermobileTM demonstration Wire heat engine demonstration Reconfigurable wing experiment Underwater Propulsion Machine Project Walking robot project (Stiquito)

ENGR 214 Torque tube experiment Piezoelectric beam demonstration


Walking Robot ProjectWalking Robot Project

Project for students in an introductory engineering class (ENGR 111/112)

Robot specifications: Must be actuated by SMAs Goal is maximum distance in 3

minutes Only contact can come from

ground Must be an autonomous

system


Multicultural StiquitoMulticultural Stiquito


There are two primary objectives: Let first year students gain practical experience working on the design and construction of an aerospace vehicle

while working with upperclassmen. Allow seniors to learn and develop important project management skills needed in the workplace today.

ENGR 111/112 integrated with AERO 401/402ENGR 111/112 integrated with AERO 401/402


ENGR 111/112 integrated with AERO 401/402ENGR 111/112 integrated with AERO 401/402

Possible Projects for ENGR 111/112 students Research Similar Aircraft

Helps to develop research skills in freshman Allows seniors to effectively manage their time on important design issues

Internal Arrangement of Systems Helps to develop spatial thinking in freshman Allows seniors to focus on the actual system design

Landing Gear System Allows freshman to use basic statics to determine landing gear requirements Also allows freshman to develop an important mechanical system in the overall design

Study of New Technologies Lets freshman learn the new and exciting technologies in engineering The freshman research gives seniors a chance to gain important data and use towards the

design of their aircraft.


Design Optimization of a Reconfigurable Active Design Optimization of a Reconfigurable Active Wing Demonstration ModelWing Demonstration Model

Rib with Embbedded SMA Actuators

Synthetic Jet Nozzles

Pressure Sensor Arrays

Rib with Embbedded SMA Actuators

Lagoudas, Rediniotis


Simplified Rib Structure ModelSimplified Rib Structure Model

Displacement Point A Experimental: 7.0 Predicted: 9.0194

A

ABAQUS Finite Element model

Experimental setup (Deformed frame)

Original frame shape

Deformed frame

SMA wire

Lagoudas, Rediniotis


Active Reconfigurable Wing :Active Reconfigurable Wing : Experimental Experimental Model - Structural ConceptModel - Structural Concept

Compression SpringsCompression SpringsInternal Support StructureInternal Support StructureSMA WiresSMA Wires

Schematic Schematic DrawingDrawing

FEM FEM AnalysisAnalysis

S M A W ire s S p r in g E le m e n ts

F ix e d B C ’s

S M A W ire s S p r in g E le m e n ts

F ix e d B C ’sSprings Spar

SMA tensioner boltsRib

Linkage to Skin

Flow

Direction

Springs

Experimental Experimental ModelModel


Active Reconfigurable WingActive Reconfigurable Wing


Variety of Finite Element Analysis EnvironmentsVariety of Finite Element Analysis EnvironmentsAero 306Aero 306

•Commercial finite element programs with integrated pre- and post-processor (eg. FEMAP)

•In-house codes (alpha, plot2000, ...) ..advantage=few options

•Partial differential equation solver (FlexPDE, PDEase2D, FemLab)


Analysis of a Beam

beam_rigidSupport_linear: Grid#3 p2 Nodes=403 Cells=180 RMS Err= 3.7e-4

08:16:17 10/31/01FlexPDE 2.20e

X

0. 2. 4. 6. 8. 10.

Y

-4.

-2.

0.

2.

4.

x+5*u,y+5*v

Analysis of a Beam

beam_rigidSupport_linear: Grid#3 p2 Nodes=403 Cells=180 RMS Err= 3.7e-4Integral= -413.4255

08:01:12 10/31/01FlexPDE 2.20e

X

0. 2. 4. 6. 8. 10.

Y

-4.

-2.

0.

2.

4.

Sxy

7.00 6.50 6.00 5.50 5.00 4.50 4.00 3.50 3.00 2.50 2.00 1.50 1.00 0.50 0.00-0.50-1.00-1.50-2.00-2.50-3.00-3.50-4.00-4.50-5.00-5.50-6.00-6.50

-6.50-7.00-7.50

Scale = E4

Typical Output from FlexPDE

AERO 405 Urica I Flying Wing

(Finite Element Model with Skin)

AERO 405 Urica I Flying Wing

(FEM Spar & Rib von-Mises Stresses)


Project Aero 302: Synthetic Jet ActuatorsProject Aero 302: Synthetic Jet Actuators

Introduction into the classroom: AERO 302 (Aerospace Engineering Laboratory 1)

Use of Hot-Wires and Fast-Response Pressure Probes to measure actuator exit velocity as a function of operating frequency

Maximum Slot Exit Velocity

05

101520253035404550556065707580859095

100

30 40 50 60 70 80 90 100 110 120 130 140

Actuator Frequency [Hz]

Ex

it V

elo

cit

y [

m/s

]

P1_Hot Wire

P1_Pressure


Flow Separation Control (Wing)Flow Separation Control (Wing)

Without Actuation With Actuation


Autonomous Intelligent ReconfigurationAutonomous Intelligent Reconfiguration

Knowledge&

Feasibility

CriteriaKnowledge

Identify needs for reconfiguration

Facilitator

Structural Reconfiguration

Flow Reconfiguration


Hybrid Simplex-Genetic Algorithm Improve and Refine Existing Algorithm

Hysteretic Actuators Extend Current Actuators from SISO to MIMO Type

Evaluate in

Non-Laboratory Environment Fly on UAV Testbed

SMA experiment

Autonomous Intelligent Reconfiguration:Autonomous Intelligent Reconfiguration:Structural ReconfigurationStructural Reconfiguration

Electrical

Control Surfaces

Data

Firewall

SMA wires


Synthetic Jet Actuator Flow Regime Expansion Extend Low Speed Results to High Speed Regime

Evaluate in Non-Laboratory Environment Fly on UAV Testbed

SJA experiment

Autonomous Intelligent Reconfiguration:Autonomous Intelligent Reconfiguration:Flow ReconfigurationFlow Reconfiguration

Electrical

Control Surfaces

Data

Firewall


URICAURICAFamily Concept In 3 PhasesFamily Concept In 3 Phases

URICA I•Increased Cost and Risk•Ducted fan propulsion•120 KTAS cruise speed •2 hour endurance•120 pound payload•650 pound takeoff weight

URICA I minus•Low Cost, Low Risk•Pusher prop propulsion•80 KTAS maximum speed •1 hour endurance•25 pound payload•205 pound takeoff weight

URICA II•High Cost, Higher Risk•OTS Turbojet propulsion•400 KTAS maximum speed •2 hour endurance•200 pound payload•1,596 pound takeoff weight


Flown May 1999

Tractor Configuration

URICA I URICA I Subscale Demonstrator UAVSubscale Demonstrator UAV


Pusher Configuration

Flown May 2000

URICA I minusURICA I minusSubscale Demonstrator UAVSubscale Demonstrator UAV


URICA I IURICA I ISubscale Demonstrator UAVSubscale Demonstrator UAV

Ground Testing CompletedSummer 2001

Length: 77 inchesSpan: 69 inchesHeight: 32 inches Powerplant: 0.90 Ducted Fan Max T.O. Weight: 33 poundsPayload Weight: 5 poundsEmpty Weight: 25 pounds


Flight Simulation LaboratoryFlight Simulation LaboratoryContact InformationContact Information

Director

Dr. John Valasek

Aerospace Engineering Department


3141 TAMU

College Station, TX 77843-3141

(979) 845-1685

[email protected]

FSL Web Page http://flutie.tamu.edu/~fsl/


Assessment & EvaluationAssessment & Evaluation

PURPOSE: To determine what value the project has contributed to

student learning, and how

FOCI: Value added to Student Interest

Value added to Student Content Knowledge

Value added to Student Engineering and Design Process Learning


Assessment & Evaluation: Assessment & Evaluation: YEAR 1 OUTCOME MEASUREMENT YEAR 1 OUTCOME MEASUREMENT (PROJECTED)(PROJECTED)

FOCI STUDENT OUTCOME MEASUREMENT

Interest

Retention in Major Pre-Post Attitude Survey results Enrollment in Project courses Targeted class activities feedback

ContentKnowledge

Targeted parts of class-embedded tests,assignments & projects

Engineering &Design ProcessLearning

Design Knowledge baseline pre-test Engineering /Design Process Performance

assessment Design Product assessment

Documents

Development of a Multidisciplinary Curriculum for Intelligent Systems