Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한창수 | - |
dc.date.accessioned | 2019-02-27T04:45:29Z | - |
dc.date.available | 2019-02-27T04:45:29Z | - |
dc.date.issued | 2017-07 | - |
dc.identifier.citation | APPLIED SCIENCES-BASEL, v. 7, No. 7, Article no. 738 | en_US |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://www.mdpi.com/2076-3417/7/7/738/htm | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/99273 | - |
dc.description.abstract | A steer-by-wire (SbW) system, also known as a next-generation steering system, is one of the core elements of autonomous driving technology. Navigating a SbW system road vehicle in varying driving conditions requires an adaptive and robust control scheme to effectively compensate for the uncertain parameter variations and external disturbances. Therefore, this article proposed an adaptive global fast sliding mode control (AGFSMC) for SbW system vehicles with unknown steering parameters. First, the cooperative adaptive sliding mode observer (ASMO) and Kalman filter (KF) are established to simultaneously estimate the vehicle states and cornering stiffness coefficients. Second, based on the best set of estimated dynamics, the AGFSMC is designed to stabilize the impact of nonlinear tire-road disturbance forces and at the same time to estimate the uncertain SbW system parameters. Due to the robust nature of the proposed scheme, it can not only handle the tire-road variation, but also intelligently adapts to the different driving conditions and ensures that the tracking error and the sliding surface converge asymptotically to zero in a finite time. Finally, simulation results and comparative study with other control techniques validate the excellent performance of the proposed scheme. | en_US |
dc.description.sponsorship | This research was partially supported by the Higher Education Commission of Pakistan by the award letter No. HRDI-UESTPs/Batch-II/South Korea/2012. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.subject | adaptive global fast sliding mode (AGFSM) | en_US |
dc.subject | adaptive sliding mode observer (ASMO) | en_US |
dc.subject | Kalman filter (KF) | en_US |
dc.subject | Steer-by-Wire (SbW) | en_US |
dc.title | Adaptive Global Fast Sliding Mode Control for Steer-by-Wire System Road Vehicles | en_US |
dc.type | Article | en_US |
dc.relation.no | 7 | - |
dc.relation.volume | 7 | - |
dc.identifier.doi | 10.3390/app7070738 | - |
dc.relation.page | 1-26 | - |
dc.relation.journal | APPLIED SCIENCES-BASEL | - |
dc.contributor.googleauthor | Iqbal, Junaid | - |
dc.contributor.googleauthor | Zuhaib, Khalil Muhammad | - |
dc.contributor.googleauthor | Han, Changsoo | - |
dc.contributor.googleauthor | Khan, Abdul Manan | - |
dc.contributor.googleauthor | Ali, Mian Ashfaq | - |
dc.relation.code | 2017009397 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF ROBOT ENGINEERING | - |
dc.identifier.pid | cshan | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.