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

Authors

  • Ismail Dif Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Science and Technology University of Ziane Achour of Djelfa, 17000, Algeria https://orcid.org/0000-0002-7153-2480
  • Naas Dif Saad Dahleb University Blida, LABSET Laboratory, Blida, 09000, Algeria https://orcid.org/0000-0001-9474-6775

DOI:

https://doi.org/10.18540/jcecvl9iss5pp15928-01e

Keywords:

Active suspension, LQR, Firefly Algorithm, Optimization

Abstract

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.

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Published

2023-06-06

How to Cite

Dif, I., & Dif , N. (2023). Firefly Algorithm Optimization-Based LQR Controller for 1/4 Vehicle Active Suspension System: Design and Performance Evaluation . The Journal of Engineering and Exact Sciences, 9(5), 15928–01e. https://doi.org/10.18540/jcecvl9iss5pp15928-01e

Issue

Section

General Articles