Abstract
This paper presents the design of fast terminal sliding mode control based on feed forward neural network (FTSMC+ NN) for a polymerization reactor in the presence of unknown disturbances. The FTSMC+NN offers robust trajectory tracking of the monomer concentration and the reactor temperature. The NN is employed to approximate the unknown complex dynamics and the external disturbances. Additionally, in order to avoid the chattering phenomenon, a continuous reaching law together with an adaptive gain estimator is adopted. The proposed controller showcases superior performances compared to the SMC and proportional-integral-derivative (PID) controller.
| Original language | English |
|---|---|
| Pages (from-to) | 1167-1176 |
| Number of pages | 10 |
| Journal | International Journal of Dynamics and Control |
| Volume | 9 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2021 |
Bibliographical note
Publisher Copyright:© 2021, Springer-Verlag GmbH Germany, part of Springer Nature.
Keywords
- Adaptive control
- Fast terminal sliding mode control
- Neural network
- Polymerization reactor
ASJC Scopus subject areas
- Control and Systems Engineering
- Civil and Structural Engineering
- Modeling and Simulation
- Mechanical Engineering
- Control and Optimization
- Electrical and Electronic Engineering