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https://hdl.handle.net/2440/84340
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Type: | Journal article |
Title: | Fuzzy sampled-data control for uncertain vehicle suspension systems |
Author: | Li, H. Jing, X. Lam, H. Shi, P. |
Citation: | IEEE Transactions on Cybernetics, 2014; 44(7):1111-1126 |
Publisher: | IEEE |
Issue Date: | 2014 |
ISSN: | 2168-2267 2168-2275 |
Statement of Responsibility: | Hongyi Li, Xingjian Jing, Hak-Keung Lam, and Peng Shi |
Abstract: | This paper investigates the problem of sampled-data H∞ control of uncertain active suspension systems via fuzzy control approach. Our work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞ disturbance attenuation level and suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active suspension systems considering the desired suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. Simulation results for active vehicle suspension systems with uncertainty are provided to demonstrate the effectiveness of the proposed method |
Keywords: | Active suspension system H∞ control sampled-data control T-S fuzzy model. |
Rights: | © 2013 IEEE |
DOI: | 10.1109/TCYB.2013.2279534 |
Published version: | http://dx.doi.org/10.1109/tcyb.2013.2279534 |
Appears in Collections: | Aurora harvest Electrical and Electronic Engineering publications |
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