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Tuning of Model Predictive Controllers Using Fuzzy Logic

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Tuning of Model Predictive Controllers Using Fuzzy Logic. Emad Ali. King Saud University ... Tuning of MPC parameters is simplified using Fuzzy logic ... – PowerPoint PPT presentation

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Title: Tuning of Model Predictive Controllers Using Fuzzy Logic


1
Tuning of Model Predictive Controllers Using
Fuzzy Logic
  • Emad Ali
  • King Saud University
  • Saudi Arabia

2
Presentation Outline
  • Objectives
  • MPC Control Law
  • Time-domain Performance
  • Tuning procedure
  • Simulation Example
  • Conclusion

3
Objectives
  • To achieve good MPC performance
  • To simplify the MPC tuning procedure

4
MPC Control Law
Subject to
where
5
Time Domain Specification
6
General Tuning Guidelines
7
Specification violation measure
Upper bound violation
Lower bound violation
Bound violation rate
8
Fuzzification of the bound violation
9
Inference Rules
10
Defuzzification
11
Tuning Parameter Adaptation
Each sampling instant, set L L w(l)L g
g w(g)g P P w(P)P
12
Evaporator example
13
A series of set point changes
14
Conclusions
  • Tuning of MPC parameters is simplified using
    Fuzzy logic
  • General well-known tuning guidelines are easily
    incorporated
  • Improved feedback performances are obtained
  • Computational load is kept at minimum
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