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- Title
Tuning a model predictive controller for doubly fed induction generator employing a constrained genetic algorithm.
- Authors
Rodrigues, Lucas L.; Potts, Alain S.; Vilcanqui, Omar A. C.; Sguarezi Filho, Alfeu J.
- Abstract
This study presents a model predictive control (MPC) for a doubly fed induction generator (DFIG) power control using a state-space prediction model. Genetic algorithms (GAs) have demonstrated their potential in finding good solutions for complex problems. However, GA in its original form lacks a mechanism for handling constraints. In this way, a method for tuning the MPC based on a novel constrained GA is proposed. In this way, the method permits a good solution for the weighing matrices with predetermined maximum requirements, such as maximum overshoot, just using the DFIG control simulation. Finally, experimental results are presented to endorse the proposed theory.
- Subjects
INDUCTION generators; PREDICTIVE control systems; PREDICTION models; GENETIC algorithms
- Publication
IET Electric Power Applications (Wiley-Blackwell), 2019, Vol 13, Issue 6, p819
- ISSN
1751-8660
- Publication type
Article
- DOI
10.1049/iet-epa.2018.5922