A Robust LQR-Based Fuzzy-Immune PID Applied for a Greenhouse Temperature Networked Control
| Autor: | Ibtihal Banharkou, Sofiane Gherbi, Lamine Mehennaoui |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | European Journal of Electrical Engineering. 24:133-138 |
| ISSN: | 2116-7109 2103-3641 |
| DOI: | 10.18280/ejee.240302 |
| Popis: | Bioinspired control system strategies have received considerable attention in recent years, demonstrating their effectiveness to control various classes of systems. This paper presents a new robust LQR-based fuzzy-immune PID controller synthesis method, the particularity of this structure is the combination of the features granted by the linear quadratic regulator LQR and the fuzzy-immune PID controller as: robustness, optimization and self-adapting. The proposed approach is applied to the temperature control of a greenhouse system over Ethernet network. Such control loop is bound to be affected by several uncertainties such as communication delays, packet dropout... etc., it is therefore necessary to adopt a robust control strategy that can handle these problems. MATLAB/Simulink is used to simulate the proposed controller structure under several perturbations/uncertainties scenarios. The results show better time domain performance and greater robustness against uncertainties, in comparison with other PID structures (classic and fuzzy immune PID). |
| Databáze: | OpenAIRE |
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