@inproceedings{204d1621305e454b8c1e577918e64f57,
title = "Application of Artificial Fish Swarm Algorithm in LQR Control for Active Suspension",
abstract = "This paper investigates the problem of artificial fish swarm algorithm (AFSA) in LQR control of active suspension. To find the optimal solution, AFSA is used to overcome the shortcoming that the coefficients are determined based on experience in the LQR, which cannot guarantee the optimal solution. At first, the quarter car active suspension model and the road excitation model are given. Then the LQR controller and LQR controller with AFSA are designed. And at last, the simulation is conducted. Compared with the conventional LQR control, LQR controller with ASFA can concurrently improve both the ride comfort and driving control stability of vehicle.",
keywords = "AFSA, LQR, active suspension, simulation",
author = "Weipeng Zhao and Liang Gu and Mingming Dong",
note = "Publisher Copyright: {\textcopyright} 2022 ACA.; 13th Asian Control Conference, ASCC 2022 ; Conference date: 04-05-2022 Through 07-05-2022",
year = "2022",
doi = "10.23919/ASCC56756.2022.9828115",
language = "English",
series = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2406--2409",
booktitle = "ASCC 2022 - 2022 13th Asian Control Conference, Proceedings",
address = "United States",
}