Observer-based adaptive sliding mode control for steer-by-wire systems with event-triggered communication
This paper proposes an event-triggered adaptive sliding mode control for the steer-by-wire (SbW) system subject to unavailable state, time-varying disturbance, and limited communication resources. Firstly, an adaptive state observer is proposed to estimate the unmeasured state of the SbW system. The...
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Published in | Journal of the Brazilian Society of Mechanical Sciences and Engineering Vol. 43; no. 3 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.03.2021
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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Summary: | This paper proposes an event-triggered adaptive sliding mode control for the steer-by-wire (SbW) system subject to unavailable state, time-varying disturbance, and limited communication resources. Firstly, an adaptive state observer is proposed to estimate the unmeasured state of the SbW system. The uncertain nonlinearity and the time-varying can be estimated by the adaptive fuzzy logic system and the disturbance observer, respectively. Then, considering the limited communication resources, an even-triggered adaptive sliding mode control is proposed for the SbW system. The key advantage is that the proposed control scheme can offset the observation error and the event-triggering error. Much importantly, the high-frequency switching function is nested in the control input without increasing the input–output relative degree of the controlled system, such that the chattering-free control input can be obtained. Finally, theoretical analysis shows that the practical finite-time stability of the closed-loop SbW system can be saved, and communication resources in the controller-to-actuator channel can be saved while avoiding the Zeno-behavior. Numerical simulations and experiments are given to evaluate the effectiveness of the proposed scheme. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISSN: | 1678-5878 1806-3691 |
DOI: | 10.1007/s40430-021-02881-1 |