Fattah, Rachid, Kenne, Jean-Pierre, Benjelloun, Khalid et Chebak, Ahmed.
2025.
« Optimization of the backstepping control parameters of an active electrohydraulic suspension to improve passenger comfort and road handling ».
IEEE Access, vol. 13.
pp. 35985-36005.
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Résumé
This study introduces an innovative optimization strategy for Electro-Hydraulic Active Suspension Systems (EHASS), combining game theory with Particle Swarm Optimization (PSO) to tune backstepping control parameters. Unlike conventional approaches relying on manual tuning or trial-anderror, our method systematically optimizes these parameters, ensuring a well-balanced trade-off between ride comfort and road handling. The optimization process considers worst-case road disturbances, leading to a 79.5% reduction in tracking error, a 44.7% decrease in VDV, and a 51.2% improvement in Crest Factor, complying with ISO 2631 standards. Comprehensive validation across ten road profiles, including highly irregular terrains, confirms the robustness of the proposed method. Additionally, a comparison with Genetic Algorithm (GA)-based optimization highlights that PSO achieves superior convergence and performance. These findings establish a new benchmark for intelligent suspension control, making our approach a strong candidate for real-world automotive applications.
| Type de document: | Article publié dans une revue, révisé par les pairs |
|---|---|
| Chercheur(-euse): | Chercheur(-euse) Kenné, Jean-Pierre |
| Affiliation: | Génie mécanique |
| Date de dépôt: | 18 mars 2025 15:32 |
| Dernière modification: | 27 mars 2025 18:31 |
| URI: | https://espace2.etsmtl.ca/id/eprint/30643 |
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