1 Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Waleed/Libya
2 Computer & IT Department, College of Electronic Technology, Bani Walid, Libya
Research Article
World Journal of Advanced Research and Reviews, 2021, 10(01), 019-029
Received on 23 February 2021; revised on 27 March 2021; accepted on 30 March 2021
When designing a vehicle, the most important variable that should be taken into account is the vehicle yaw rate, it represents an important indication of the vehicle’s stability and control. This paper aims to demonstrate how to simulate and control the yaw rate of a vehicle using two control methods, the first is the Linear Quadratic control method (LQR) and the other one is neural network control. The classical single-track model is prominently used for yaw stability control analysis. One driving conditions performed is the steering input; the steering input in this work is set as step steering angle and a lane change manoeuvre. Simulation results showed that both control methods used produced good and convergent performance results for the vehicle under different driving conditions.
Vehicle Stability; Single-Track Model; Yaw Rate; LQR; Neural Network Control.
Preview Article PDF
Abdussalam Ali Ahmed, Faraj Ahmed Elzarook Barood and Munir S. Khalifa. Vehicle yaw rate simulation and control based on single-track model. World Journal of Advanced Research and Reviews, 2021, 10(1), 019-029. Article DOI: https://doi.org/10.30574/wjarr.2021.10.1.0127