Abstract
In this paper, a reconfiguration approach using fuzzy logic algorithm and neural network modelling is proposed. When a failure has been detected, the state of the degraded system is evaluated by comparing the output of the system with the estimation provided by a neural model. Therefore, we propose to use the neural networks in order to cover all the operating zone of the faulty system. By combining neural network capabilities and fuzzy logic for fault evaluation, a new control law is determined taking into account the impact of the failure on the system. Its potentialities are illustrated through simulation studies on a thermal plant presenting bilinear characteristics.
| Original language | English |
|---|---|
| Pages (from-to) | 453-458 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 1 |
| Publication status | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the 1994 IEEE International Conference on Systems, Man and Cybernetics. Part 1 (of 3) - San Antonio, TX, USA Duration: Oct 2 1994 → Oct 5 1994 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture