Abstract
In this paper, we present a new sampled-data L2-L∞ filter-based output feedback fuzzy control design technique for active suspension systems subjected to hard constraints. The sampled-data problem of continuous-time suspension systems is solved using an input delay approach. In this manner, the conservatism that occurs when designing filters and controllers is effectively alleviated by using Wirtinger's inequality with the extended reciprocally convex combination bounding technique. We designed an L2-L∞ filter-based output-feedback fuzzy controller by using the Lyapunov-Krasovskii theorem to ensure that the closed-loop system is robust against external disturbances and sampled noise. The results of simulations involving different types of road disturbances and noise demonstrate the effectiveness of the proposed approach.
| Original language | English |
|---|---|
| Pages (from-to) | 21068-21080 |
| Number of pages | 13 |
| Journal | IEEE Access |
| Volume | 11 |
| DOIs | |
| Publication status | Published - 2023 |
Bibliographical note
Funding Information:This work was supported by the Basic Science Research Program through National Research Foundation of Korea (NRF) (Grants No. 2022R1F1A1073543), supported in part by the MSIT (Ministry of Science and ICT), Korea, under the ICAN (ICT Challenge and Advanced Network of HRD) program (IITP-2023-RS-2022-00156385) and the Innovative Human Resource Development for Local Intellectualization support program (IITP-2023-RS-2022-00156287) supervised by the IITP (Institute of Information and Communications Technology Planning and Evaluation)
Publisher Copyright:
© 2013 IEEE.
Keywords
- Active suspension system
- input delay approach
- L2-Lâfilter
- sampled-data system
- Takagi-Sugeno fuzzy system
ASJC Scopus subject areas
- General Computer Science
- General Materials Science
- General Engineering
- Electrical and Electronic Engineering