Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation

• Autor(a) principal: Dif, Ismail
• Data de Publicação: 2023
• Outros Autores: Dif , Naas
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista de Engenharia Química e Química
• Texto Completo: https://periodicos.ufv.br/jcec/article/view/15928
• topic: Active suspension; LQR; Firefly Algorithm; Optimization

The outcomes of this research significantly contribute to the existing body of knowledge on metaheuristic optimization techniques for active suspension systems. By conducting thorough investigations and analyses, the study effectively demonstrates the remarkable advantages of the Firefly algorithm in optimizing the performance of both conventional and intelligent controllers for active suspension systems. These findings highlight the algorithm's potential to revolutionize the field and pave the way for more efficient and robust control strategies. The demonstrated effectiveness of the Firefly algorithm in minimizing the error between the car's displacements and the disturbances of the road is particularly noteworthy. This achievement ensures a more precise and accurate tracking of the desired trajectory, regardless of the input signal used, whether it be an impulse, sine wave, or step-wise graded signal.