Adaptive fuzzy sliding mode control for active front steering system

Tian Tian; Liandi Fang; Shihong Ding; Wei Xing Zheng

doi:10.23919/CCC50068.2020.9189656

Adaptive fuzzy sliding mode control for active front steering system

Tian Tian, Liandi Fang, Shihong Ding, Wei Xing Zheng

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

3 Citations (Scopus)

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	https://doi.org/10.23919/CCC50068.2020.9189656
Publication status	Published - 2020
Event	Chinese Control Conference - Duration: 27 Jul 2020 → …

Conference

Conference	Chinese Control Conference
Period	27/07/20 → …

Keywords

fuzzy logic
motor vehicles
observers (control theory)
sliding mode control
steering-gear

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10.23919/CCC50068.2020.9189656

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@inproceedings{95d61aad1a664e25a7ab196403253615,

title = "Adaptive fuzzy sliding mode control for active front steering system",

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.",

keywords = "fuzzy logic, motor vehicles, observers (control theory), sliding mode control, steering-gear",

author = "Tian Tian and Liandi Fang and Shihong Ding and Zheng, {Wei Xing}",

year = "2020",

doi = "10.23919/CCC50068.2020.9189656",

language = "English",

pages = "358--363",

booktitle = "Proceedings of the 39th Chinese Control Conference (CCC2020), 27-29 July, 2020, Shenyang, China",

publisher = "IEEE",

note = "Chinese Control Conference ; Conference date: 27-07-2020",

}

TY - GEN

T1 - Adaptive fuzzy sliding mode control for active front steering system

AU - Tian, Tian

AU - Fang, Liandi

AU - Ding, Shihong

AU - Zheng, Wei Xing

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - fuzzy logic

KW - motor vehicles

KW - observers (control theory)

KW - sliding mode control

KW - steering-gear

UR - https://hdl.handle.net/1959.7/uws:57378

U2 - 10.23919/CCC50068.2020.9189656

DO - 10.23919/CCC50068.2020.9189656

M3 - Conference Paper

SP - 358

EP - 363

BT - Proceedings of the 39th Chinese Control Conference (CCC2020), 27-29 July, 2020, Shenyang, China

PB - IEEE

T2 - Chinese Control Conference

Y2 - 27 July 2020

ER -

Adaptive fuzzy sliding mode control for active front steering system

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