TRACTION CONTROL OF VEHICLES USING SUPER TWISTING SLIDING MODE CONTROLLER AND A NOVEL TIRE FORCE ESTIMATION STRATEGY | ||
| Journal of Al-Azhar University Engineering Sector | ||
| Article 22, Volume 15, Issue 54, January 2020, Pages 112-125 PDF (481.29 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/auej.2020.73154 | ||
| Authors | ||
| Sara Shafiq1; Mohamed Abdelaziz1; Maged Ghonima2; Farid Tolba3 | ||
| 1Ain Shams University, Faculty of Eng., Automotive Department, Cairo, Egypt | ||
| 2Ain Shams University, Faculty of Eng., Mechatronics Department, Cairo, Egypt | ||
| 3Ain Shams University, Faculty of Eng., Design and Production Dep., Cairo, Egypt | ||
| Abstract | ||
| Traction control is an active vehicle safety feature designed to help vehicles make effective use of all the traction available on the road when accelerating on lowfriction road surfaces. TCS becomes increasingly important to maintain the driver's controllability of the vehicle to enhance the driving experience under different road conditions and avoid road crashes by correcting human errors. This paper utilizes the usage of PID, sliding mode and super twisting sliding mode controllers with a nonlinear observer to obtain traction control for electric vehicles. The results of the simulation illustrate the success of the controllers to operate the vehicle at the desired wheel slip ratio. When a sudden change occurs, a super twisting controller yields the best control performance comparing to the other systems. A novel unified structure is used to estimate tire forces by using a nonlinear observer. The independence of the estimates from the vehicle tire model is the reason for the novelty of this structure. | ||
| Keywords | ||
| Super-Twisting Algorithm; High-Order Sliding-Mode Control; Traction Control; Tire Force Estimation; Extended Kalman Filter | ||
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