- Tytuł:
- A multivariable multiobjective predictive controller
- Autorzy:
-
Ben Aicha, F.
Bouani, F.
Ksouri, M. - Powiązania:
- https://bibliotekanauki.pl/articles/331360.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
closed loop performance
coupled multivariable system
generalized predictive control
multiobjective optimization
weighted sum method
NSGA-II
układ wielowymiarowy
sterowanie predykcyjne
optymalizacja wielokryterialna
metoda sumy ważonej - Opis:
- Predictive control of MIMO processes is a challenging problem which requires the specification of a large number of tuning parameters (the prediction horizon, the control horizon and the cost weighting factor). In this context, the present paper compares two strategies to design a supervisor of the Multivariable Generalized Predictive Controller (MGPC), based on multiobjective optimization. Thus, the purpose of this work is the automatic adjustment of the MGPC synthesis by simultaneously minimizing a set of closed loop performances (the overshoot and the settling time for each output of the MIMO system). First, we adopt the Weighted Sum Method (WSM), which is an aggregative method combined with a Genetic Algorithm (GA) used to minimize a single criterion generated by the WSM. Second, we use the Non- Dominated Sorting Genetic Algorithm II (NSGA-II) as a Pareto method and we compare the results of both the methods. The performance of the two strategies in the adjustment of multivariable predictive control is illustrated by a simulation example. The simulation results confirm that a multiobjective, Pareto-based GA search yields a better performance than a single objective GA.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2013, 23, 1; 35-45
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł