A novel metaheuristic algorithm based FOPID approach for decentralized control of vibration of a railway vehicle

• Nitish . ^[1] ; Amit Kumar Singh ^[1]
  1. [1] Department of Instrumentation and Control Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India
• Localización: Mechanics based design of structures and machines, ISSN 1539-7734, Vol. 52, Nº. 9, 2024, págs. 7092-7121
• Idioma: inglés
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  • 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.