Abstract
In order to alleviate the adverse effects of uncertainty in the active front steering (AFS) system , a new type of observer is designed in this paper that can simultaneously estimate the sideslip angle and disturbance, which provides the controller with accurate compensation and simplifies the system model. In addition, an active front steering controller based on adaptive fuzzy sliding mode (AFSM) is proposed, which uses adaptive algorithms to adjust and update fuzzy system parameters in real time. The stability of the closed-loop AFS system based on the Lyapunov stability theory is analyzed. Compared with traditional PI control, the simulation results show the effectiveness of the proposed AFSM control method.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 39th Chinese Control Conference (CCC2020), 27-29 July, 2020, Shenyang, China |
| Publisher | IEEE |
| Pages | 358-363 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Jul 2020 |
| Event | Chinese Control Conference - Duration: 27 Jul 2020 → … |
Conference
| Conference | Chinese Control Conference |
|---|---|
| Period | 27/07/20 → … |
Bibliographical note
Publisher Copyright:© 2020 Technical Committee on Control Theory, Chinese Association of Automation.
Keywords
- fuzzy logic
- motor vehicles
- observers (control theory)
- sliding mode control
- steering-gear
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