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