Adaptive Sliding-Mode Control for Nonlinear Active Suspension Vehicle Systems Using T–S Fuzzy Approach
Bohai University · University of Portsmouth · +2 more institutions
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…
Citation impact
- FWCI
- 146.05
- Percentile
- 100%
- References
- 42
Authors
4Topics & keywords
- Control theory (sociology)
- Active suspension
- Nonlinear system
- Sliding mode control
- Fuzzy control system
- Fuzzy logic
- Controller (irrigation)
- Suspension (topology)
- Affordable and clean energy