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H and Optimal Controller Design for the Shell Control Problem

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top end point and bottom reflux temperature is constrained between 0.5 and 0.5. top draw, side draw and bottoms reflux duty is constrained between 0.5 and 0.5 ... – PowerPoint PPT presentation

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Title: H and Optimal Controller Design for the Shell Control Problem


1
H? and ? Optimal Controller Design for the Shell
Control Problem
  • D. Chang, E.S. Meadows, and S.L. Shah
  • Department of Chemical and Materials Engineering
  • University of Alberta
  • CSChE Annual Meeting 2002

2
Outline
  • Shell control problem description
  • Key objectives
  • Design criteria and methodology
  • H? and ? optimal controller results
  • Prototype test case results
  • Conclusions

3
Shell Control Problem
Prett and Morari. Shell Process Control
Workshop, 1987.
4
Key Objectives
  • Design a robustly stable controller satisfying
    the following constraints
  • top end point and bottom reflux temperature is
    constrained between 0.5 and 0.5
  • top draw, side draw and bottoms reflux duty is
    constrained between 0.5 and 0.5
  • Manipulated variables have maximum move sizes
    between 0.05 and 0.05

5
Generalized Plant Structure
6
Block Singularity
spy(D)
spy(D)
Avoid singular control problems
and
Meaning D12 must be full column and D21 must be
full row rank. (Zhou, Doyle, and Glover, 1996)
D before addition of setpoints D after addition
of setpoints
7
Exogenous Inputs Revisited
Prett and Morari. Shell Process Control
Workshop, 1987.
8
Open Loop Characteristics
9
Exogenous Output Weights
  • Performance weight
  • Crossover 0.006 rad/sec ? 167 sec
  • 10 S.S. offset
  • Controller output weight
  • Crossover 0.9 rad/sec ? 1.1 sec

10
H? Controller Response
11
Robust Stability of H? Controller
12
? Optimal Response
iteration 1
iteration 2
iteration 3
iteration 4
13
Prototype Test Cases
Worst case uncertainty set calculated by Matlab?
?1 1 ?2 -1, ?3 -0.7585, ?4 -0.5549, ?5
0.2497
14
? Optimal Time Response
15
Worst Case Input Frequency
?w ? 0.2754 rad/s
16
Input and Rate Responses
17
Conclusions
  • A robustly stable multivariate controller can be
    designed with relative ease
  • All of the input, output and rate constraints
    were met for the Shell control problem
  • ? analysis provides a consistent framework for
    evaluating robust performance for all controllers

18
Acknowledgements
  • Dr. E.S. Meadows
  • Dr. S.L. Shah
  • CPC group at U of A
  • NSERC
  • iCore

19
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