Yaw stability regulation of electric vehicles based on model predictive control

Abdussalam Ali Ahmed 1, *, Neeloufir Abdulsalam Alhaaj 2 and Mustafa Emheisen 3

1 Mechanical and Industrial Engineering Department, Bani Waleed University, Bani Waleed, Libya.
2 Control System Engineering, College of Electronic Technology, Bani Walid, Libya.
3 Electrical Engineering Department, Bani Waleed University, Bani Walid, Libya.
 
Research Article
World Journal of Advanced Research and Reviews, 2023, 19(01), 1490–1498
Article DOI: 10.30574/wjarr.2023.19.1.1531
 
Publication history: 
Received on 20 June 2023; revised on 26 July 2023; accepted on 28 July 2023
 
Abstract: 
The yaw stability control system contributes significantly to the vehicle's lateral dynamics in order to enhance the vehicle's handling and stability. Controlling the lateral stability of a vehicle requires maintaining the proper yaw rate and side slip angle. For this purpose, a Model Predictive Control-based electric vehicle is built along with a stability control system. With a 2DOF vehicle model and a single track, the desired yaw rate is obtained. The controller is created using the Model Predictive Control (MPC) method. This controller modifies the steering angles of the front wheels and generates the necessary control moment for stabilizing the vehicle's yaw path. The stability control system and the developed controller are evaluated using a nonlinear single-track vehicle model, and the simulation results demonstrate improved vehicle performance and a good yaw rate compared to the vehicle's state without the controller.
 
Keywords: 
Vehicle Stability; Yaw Rate; Model Predictive Control
 
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