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Observer-based event-triggered control of steer-by-wire systems with prespecified tracking accuracy.

Authors :
Ma, Bingxin
Luo, Gang
Wang, Yongfu
Source :
Mechanical Systems & Signal Processing. Dec2021, Vol. 161, pN.PAG-N.PAG. 1p.
Publication Year :
2021

Abstract

• An adaptive state observer is proposed to estimate the unavailable state. • The nonlinearity is approximated by the interval type-2 fuzzy logic system. • The time-varying disturbance is estimated by the disturbance observer. • A finite-time control is presented to achieve prespecified tracking accuracy. • The event-triggered communication is applied to save communication resources This paper addresses the event-triggered tracking control problem of the SbW system subject to unavailable steering angular velocity of front-wheels, time-varying external disturbance, and uncertain dynamics, including friction torque and self-aligning torque. First, an adaptive state observer is proposed to estimate the unavailable steering angular velocity of front-wheels. The uncertain nonlinearity and time-varying disturbance can be estimated by the adaptive interval type-2 fuzzy logic system (IT2 FLS) and the disturbance observer, respectively. An event-triggered control is proposed for SbW systems to guarantee the prespecified control performance and save communication resources in the controller-to-actuator channel. Much importantly, the nested robust terms are incorporated in the control scheme to counteract the observation error and overcome the negative influence of the event-triggering error. Theoretical analysis shows that the prespecified arbitrary tracking accuracy can be guaranteed within finite time, and the Zeno-behavior can be strictly avoided while saving communication resources in the controller-to-actuator channel. Finally, simulation and vehicle experiment results and some comparisons are given to evaluate the effectiveness of the proposed method. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08883270
Volume :
161
Database :
Academic Search Index
Journal :
Mechanical Systems & Signal Processing
Publication Type :
Academic Journal
Accession number :
150933263
Full Text :
https://doi.org/10.1016/j.ymssp.2021.107857