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A novel metaheuristic algorithm based FOPID approach for decentralized control of vibration of a railway vehicle.
- Source :
-
Mechanics Based Design of Structures & Machines . 2024, Vol. 52 Issue 9, p7092-7121. 30p. - Publication Year :
- 2024
-
Abstract
- This article investigates a 27-degree-of-freedom dynamic model of a full-scale railway vehicle. The controlling action is performed by developing a decentralized control structure with five independent Fraction Order Proportional Integral Derivative (FOPID) controllers three types of random track irregularities, vertical profile, lateral alignment, and cross-level. A novel metaheuristic optimization technique named hybrid Particle Swarm Optimization-Gray Wolf Optimization (hybrid PSO-GWO) is proposed to optimize active force for an active suspension system. The simulated results show that the hybrid metaheuristic algorithm outperforms with a significant reduction in vehicle vibration ensuring enhanced ride comfort of the car body. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 15397734
- Volume :
- 52
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- Mechanics Based Design of Structures & Machines
- Publication Type :
- Academic Journal
- Accession number :
- 179023130
- Full Text :
- https://doi.org/10.1080/15397734.2023.2297243