Vehicle yaw rate simulation and control based on single-track model
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
Publication history:
Received on 23 February 2021; revised on 27 March 2021; accepted on 30 March 2021
Abstract:
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.
Keywords:
Vehicle Stability; Single-Track Model; Yaw Rate; LQR; Neural Network Control.
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0