Robustness analysis of feedback linearisation and LQR control on quarter-car model with cubic nonlinearity
The nonlinear behaviour of suspension elements is crucial when vehicles encounter large road inputs. These nonlinearities lead to performance degradation of active suspension systems. Feedback linearisation (FBL) is an efficient technique for nonlinear systems, whereas it may have a drawback when the nonlinearities are not well estimated and/or their parameters are varying or uncertain. Hence, the robustness of FBL for active suspension systems is investigated. In this work, the quarter-car model has a suspension spring with a cubic nonlinearity. The presented design is based on the combination of FBL and LQR controller. The LQR controller is preferred owing its ability to define an objective function that takes into consideration the active suspension performance specifications. To assess the performance and robustness of the proposed controller, simulations are carried out on two types of road profiles. They demonstrate the robustness of the FBL with LQR controller against uncertain nonlinear suspension stiffness.
- Record URL:
-
Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14791471
-
Supplemental Notes:
- Copyright © 2018 Inderscience Enterprises Ltd.
-
Authors:
- Shaqarin, Tamir
- Publication Date: 2018
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 238-250
-
Serial:
- International Journal of Vehicle Noise and Vibration
- Volume: 14
- Issue Number: 3
- Publisher: Inderscience Enterprises Limited
- ISSN: 1479-1471
- EISSN: 1479-148X
- Serial URL: http://www.inderscience.com/jhome.php?jcode=IJVNV
Subject/Index Terms
- TRT Terms: Active suspension systems; Electronic controllers; Feedback control; Nonlinear systems; Simulation; Springs (Vehicles)
- Uncontrolled Terms: Linear quadratic regulator
- Subject Areas: Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01695827
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 21 2019 9:56AM