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Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach
Abstract
This paper deals with the adaptive sliding-mode control problem for nonlinear active suspension systems via the Takagi-Sugeno (T-S) fuzzy approach. The varying sprung and unsprung masses, the unknown actuator nonlinearity, and the suspension performances are taken into account simultaneously, and the corresponding mathematical model is established. The T-S fuzzy system is used to describe the original nonlinear system for the control-design aim via the sector nonlinearity approach. A sufficient condition is proposed for the asymptotical stability of the designing sliding motion. An adaptive sliding-mode controller is designed to guarantee the reachability of the specified switching surface. The condition can be converted to the convex optimization problems. Simulation results for a half-vehicle active suspension model are provided to demonstrate the effectiveness of the proposed control schemes.
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Cited by
Chen, M., Tao, G., & Jiang, B. (2015) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2360933 · Cited by 508
Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles
Ding, S., Liu, L., & Zheng, W. X. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2682024 · Cited by 414
Second-Order Sliding Mode Control for Nonlinear Uncertain Systems Bounded by Positive Functions
Ding, S., Wang, J., & Zheng, W. X. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2448064 · Cited by 162
Metadata
- Authors
- Li, H., Yu, J., Hilton, C., & Liu, H.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2013-08
- Volume
- 60
- Issue
- 8
- Pages
- 3328-3338
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2064551186
- Cited by
- 726
- References
- 0
- FWCI
- 162.99
- Type
- journal article
- Language
- en
- Open access
- closed
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- Li, H., Yu, J., Hilton, C., & Liu, H. (2013). Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2012.2202354
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