Instructor: John Wen, CII 8015, 276-6105, wenj at rpi dot edu
Lecture Hours: Tuesday/Friday 2:00-3:20 pm, Room: JEC 4304
Office Hours: Monday/Thursday 1:00-2:00pm, CII 8015
FINAL EXAM: Wednesday Dec 14, 6:30-9:30 in Ricketts 203,
open book, open notes
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Midterm Exam: Take home exam to be emailed out on Monday
November 14 and due in class on Friday November 18.
No collaboration allowed.
|
|
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
|
November |
31 |
1 |
2 |
3 |
4 |
|
|
7 |
8 Project posted |
9 |
10 |
11 |
|
|
14 Midterm emailed |
15 |
16 |
17 |
18 Midterm due |
|
|
21 |
22 |
23 |
24 |
25 |
|
December |
28 |
29 |
30 |
1 |
2 |
|
|
5 |
6 |
7 |
8 |
9 |
|
|
12 Project due |
13 |
14 FINAL 6:30-9:30 |
15 |
16 |
Topics:
|
Date |
Topic |
|
11/4 |
Simulink, PID Tuning (10-1 to 10-3) |
|
11/8 |
Design project description |
|
11/11 |
Introduction to the state space method |
|
11/15 |
Full state |
|
11/18 |
State estimator |
|
11/22 |
Tracking control |
|
11/29 |
Digital implementation |
|
12/2 |
Design example |
|
12/6 |
Design example |
|
12/9 |
Review |
Lecture slides:
·
November 4: PID controller and gain
tuning, introduction to MATLAB and Simulink: Read 10.1-10.3.
·
November 8: Project description
You should start playing with this model, for example, try applying PID
control to this system, and just tweak the gains based on the outputs.
·
November 11:
Read 11.1-11.3 and 12.1-12.3
1. You should be prepared to discuss: Given a plant 1/s^2
and PID controller kp+ki/s+kd s, how to plot root locus with respect to ki?
2. We’ll talk about the derivation of the project model.
3. We’ll start talking about the state space description
of a linear time invariant system (start reading Chap. 11)
·
November 15: Review of frequency domain
control design through loop shaping, Bode plot, lead/lag compensation, Nyquist
plot, gain/phase margins
Don’t forget to hand in the 3 root locus exercise problems: do
them by hand first, then by MATLAB.
1.
2.
3.
Homework Solution MATLAB plots
·
November 18: State space system description,
start on project.
·
November 22: State estimator design and tracking
control
·
November 29: Project/Homework,
discretization of state estimator
Homework
(due on 12/6): Incorporate observer and discretization (sample-data
implementation) in your state space design and tune controller for the
nonlinear system performance.
·
December 2: in-class notes
·
December 6: Linear Quadratic Optimal Control
§
December 9: last class
§
December 12: review session