Structural control competition - University of Illinois at
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Transcript Structural control competition - University of Illinois at
STRUCTURAL CONTROL
COMPETITION
July 17th, 2009
The Pendubot
Equilibrium Positions
Equilibrium Position for Lab I and II
Equilibrium Position for Competition
Simulink Model
Schedule
July 16th: Structural Control Lab I (1:00pm to 5:00pm)
July 17th: Structural Control Lab II (1:00pm to 5:00pm)
July 20th: Open Lab Time (6:00pm to 8:00pm)
July 21st: Open Lab Time (6:00pm to 8:00pm)
July 22nd: Open Lab Time (1:00pm to 5:00pm)
July 23rd: Open Lab Time (1:00pm to 3:00pm)
July 23rd: On-Site Evaluation (3:00pm to 4:30pm)
Scoring Criteria
40% On-Site Evaluation
10%
for each challenge
July 23rd from 3:00pm to 4:30pm
60% Presentation
15%
for each challenge
July 24th in conjunction with Wireless Sensors
presentations
On-Site Evaluation Schedule
ECE Control Lab, July 23rd
Team 1: 3:00pm
Team 2: 3:10pm
Team 3: 3:20pm
Team 4: 3:30pm
Team 5: 3:40pm
Team 6: 4:00pm
Team 7: 4:10pm
Team 8: 4:20pm
Presentations
Siebel Center, Room 1404, July 24th
Wireless Sensors Competition, 9:00 am to 11:00am
Team 1: 9:00am
Team 2: 9:15am
Team 3: 9:30am
Team 4: 9:45am
Team 5: 10:00am
Team 6: 10:15am
Team 7: 10:30am
Team 8: 10:45am
Lunch Break, 11:00am to 12:00pm
Presentations
Siebel Center, Room 1404, July 24th
Structural Control Competition, 12:00pm to 1:45pm
Team
1: 12:00pm
Team 2: 12:15pm
Team 3: 12:30pm
Team 4: 12:45pm
Team 5: 1:00pm
Team 6: 1:15pm
Team 7: 1:30pm
Team 8: 1:45pm
Leave for Hardy’s Reindeer Ranch at 3:00pm
Challenge 1: Swing-Up Control
Have been making use of partial feedback
linearization type swing-up control
Develop swing-up control based on a PD controller
Challenge 2: Velocity Estimation
Replace discrete differentiation scheme with a
transfer function to calculate derivative
Note that H = s is an unstable transfer function
Investigate effect of
pole location
Bode Diagram
H s
ps
H
p s
Magnitude (dB)
40
30
s
20
p = 25
p = 50
10
p = 100
0
90
Phase (deg)
50
60
30
0
0
10
1
2
10
10
Frequency (rad/sec)
3
10
Challenge 3: Kalman Filter/
LQG Control
Use Kalman Filter to estimate unknown states
Implement with LQG control
Challenge 4: Alternative Controller
Freedom to select new type of controller
Consideration will be given to the type of controller
(degree of difficulty) and success of implementation
Use intelligent controller design
Use literature
Online
Engineering
Library on Springfield Avenue