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| Titre: | A Single-Neuron-Based Temperature Control of a Continuous Stirred Tank Reactor |
| Auteur(s): | Ladjouzi, Samir
Grouni, Said |
| Mots-clés: | Continuous stirred tank reactor
DragonFly algorithm
Genetic algorithm and particle swarm optimization
PID controller
Single-neuron controller
Ziegler–Nichols |
| Date de publication: | 2024 |
| Editeur: | Springer Nature |
| Collection/Numéro: | Mapan - Journal of Metrology Society of India(2024); |
| Résumé: | In this paper, a new technique to determine the best values of a PID controller is presented. The proposed scheme is based on using a single-neuron controller which its weights represent the PID parameters. Weight’s adjustment is accomplished with a recent meta-heuristic algorithm called the DragonFly Algorithm. To show the effectiveness of our method, we have applied it to control a Continuous Stirred Tank Reactor. The obtained results are compared with several algorithms: the Ziegler–Nichols, Genetic Algorithm, and Particle Swarm Optimization. |
| URI/URL: | https://link.springer.com/article/10.1007/s12647-024-00749-y
https://doi.org/10.1007/s12647-024-00749-y
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/13981 |
| ISSN: | 0970-3950 |
| Collection(s) : | Publications Internationales
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