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contributor authorMa, Bingxin
contributor authorWang, Zezheng
contributor authorWang, Yongfu
date accessioned2022-02-05T22:12:44Z
date available2022-02-05T22:12:44Z
date copyright2/19/2021 12:00:00 AM
date issued2021
identifier issn0022-0434
identifier otherds_143_07_071008.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4277132
description abstractThe model uncertainty of the steer-by-wire (SbW) system and the limitation of communication bandwidth will have a negative effect on its control performance. For this reason, this paper proposes an event-triggered high-order sliding mode control for uncertain SbW systems. First, to save communication and computing resources, an event-triggering mechanism that depends on the system state is proposed for the SbW system, such that both communication and computing resources can be saved. Second, an event-triggered adaptive higher-order sliding mode (ET-AHOSM) control is proposed for the closed-loop SbW system. The assumptions about the global Lipschitz of nonlinearity and the a priori bounds of the disturbance are no longer required in the control design. Much importantly, the control input continuity can be guaranteed even there is the event-triggering communication in the controller-to-actuator channel. Theoretical analysis shows that the global practical finite-time stability of the closed-loop SbW system can be obtained while avoiding Zeno behavior of the event-triggered control system. Finally, numerical simulation and experiments show that the designed control method can reduce more than 1/2 of the calculation and communication resources while ensuring satisfactory tracking accuracy.
publisherThe American Society of Mechanical Engineers (ASME)
titleEvent-Triggered Adaptive Higher-Order Sliding Mode Tracking Control for Steer-by-Wire Systems
typeJournal Paper
journal volume143
journal issue7
journal titleJournal of Dynamic Systems, Measurement, and Control
identifier doi10.1115/1.4049794
journal fristpage071008-1
journal lastpage071008-14
page14
treeJournal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 007
contenttypeFulltext


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