Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault
By Hongyi Li, Honghai Liu, Huijun Gao, Peng Shi. IEEE transactions on fuzzy systems, 2012
574 citations recorded by the source corpus.
This paper is focused on reliable fuzzy H∞ controller design for active suspension systems with actuator delay and fault. The Takagi-Sugeno (T-S) fuzzy model approach is adapted in this study with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances. By the utilization of the parallel-distributed compensation scheme, a reliable fuzzy H∞ performance analysis criterion is derived for the proposed T-S fuzzy model. Then, a reliable fuzzy H∞ controller is designed such that the resulting T-S fuzzy system is reliable in the sense that it is asymptotically stable and has the prescribed H∞ performance under given constraints. The existence condition of the reliable fuzzy H∞ controller is obtained in terms of linear matrix inequalities (LMIs) Finally, a quarter- vehicle suspension model is used to demonstrate the effectiveness and potential of the proposed design techniques.
Subfields: Biomedical Engineering, Civil and Structural Engineering
View Paper: https://www.semanticscholar.org/paper/e4482c91e608ddbab520019560775799e600cae9
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Citations in the corpus
- Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation (2015, background): “At the same time, NNs and fuzzy logical systems as the universal approximators have been widely employed to tackle the system uncertainty [14]–[19].”
- Vibration isolation via a scissor-like structured platform (2014, result): “Some research results employ H-infinite control theory for active control of vehicle suspension systems considering actuator delay and fault [23,24].”
- A Novel Control Design on Discrete-Time Takagi–Sugeno Fuzzy Systems With Time-Varying Delays (2013, background): “Recently, there appeared some results of output feedback H∞ control design for fuzzy systems, to name a few, for example, [1], [13], [14], [16], [17], [32] and the references therein.”
- A Novel Approach to Filter Design for T–S Fuzzy Discrete-Time Systems With Time-Varying Delay (2012, background): “Their existence may introduce instability, oscillation, and poor system performance [2], [4], [8], [12], [16], [21], [32]–[34].”