N. M., Adam and A., Irawan (2021) Adaptive Torque-based Vehicle Slip Control using Super-twisting Theorem for Steering Vehicle Control on Cornering Road. In: The 21st International Conference on Control, Automation and Systems (ICCAS 2021) , 12-15 October 2021 , Ramada Plaza Hotel, Jeju, Korea. pp. 1-6..
![[img]](http://umpir.ump.edu.my/style/images/fileicons/other.png) |
Pdf
Adaptive Torque-based Vehicle Slip Control.pdf Restricted to Registered users only Download (944kB) | Request a copy |
|
|
Pdf
Adaptive Torque-based Vehicle Slip Control1.pdf Download (150kB) | Preview |
Abstract
The inertia of vehicle's slip caused by oversteered is a crucial part that need to be considered in vehicle dynamics and control system design especially in the cornering road. This is particularly important for steering vehicles, as inertia might lead to high accidents with peer walls. Therefore, this research has taken the initiative to contribute to the investigation of a better solution for vehicle control challenges that are special to cornering road maneuvering. The adaptive torque-based vehicle slip control (AT-VSC) is proposed using super-twisting algorithm to allow coping with the issue by indirectly shaping inertia forces. The Rack Steering Vehicle (RSV) is used in this research as the targeted platform. The vehicle velocity, inertia, and kinetic energy reduction of the RSV in the cornering track were all simulated and analyzed. The results shows that the proposed control strategy AT-VSC offers improved performance in terms of speed increase time and vehicle stability that gives impact to the RSV being skidded or collided to any obstacles during cornering period.
| Item Type: | Conference or Workshop Item (Lecture) |
|---|---|
| Uncontrolled Keywords: | steering vehicle, inertia reduction, super-twisting theorem and torque control |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 26 Jan 2022 02:12 |
| Last Modified: | 26 Jan 2022 02:36 |
| URI: | http://umpir.ump.edu.my/id/eprint/33287 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |