Fuzzy sampled-data control for uncertain vehicle suspension systems

Hongyi Li; Xingjian Jing; Hak Keung Lam; Peng Shi

doi:10.1109/TCYB.2013.2279534

Fuzzy sampled-data control for uncertain vehicle suspension systems

Hongyi Li, Xingjian Jing, Hak Keung Lam, Peng Shi

Research output: Journal article publication › Journal article › Academic research › peer-review

336 Citations (Scopus)

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.

Original language	English
Article number	6595052
Pages (from-to)	1111-1126
Number of pages	16
Journal	IEEE Transactions on Cybernetics
Volume	44
Issue number	7
DOIs	https://doi.org/10.1109/TCYB.2013.2279534
Publication status	Published - 1 Jan 2014

Keywords

Active suspension system
H∞ control
sampled-data control
T-S fuzzy model

ASJC Scopus subject areas

Software
Control and Systems Engineering
Information Systems
Human-Computer Interaction
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TCYB.2013.2279534

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AB - 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.

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Fuzzy sampled-data control for uncertain vehicle suspension systems

Abstract

Keywords

ASJC Scopus subject areas

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