An NMPC-Based Integrated Control Strategy for Rear-Wheel-Driven Autonomous Electric Vehicles
7th International Conference on Advancements in Computational Sciences, ICACS 2026, Lahore, Pakistan, 10 - 11 February 2026, (Full Text)
- Publication Type: Conference Paper / Full Text
- Doi Number: 10.1109/icacs69208.2026.11433134
- City: Lahore
- Country: Pakistan
- Keywords: autonomous electric vehicle, longitudinal velocity, magic formula, model predictive control, nonlinear model predictive control
- Middle East Technical University Affiliated: Yes
Abstract
A unified approach for the Nonlinear Model Predictive Control (NMPC) is presented to control active front steering, lateral acceleration, and longitudinal velocity for a rear-wheel-driven autonomous electric vehicle. The purpose is to ensure reference tracking and system stability by utilizing multi-objective optimization functions. Through the results, the effectiveness of the proposed approach is demonstrated to achieve the robustness and stability. The dynamic model of a rear-wheeldriven test vehicle also incorporates the Pacekja tire model, that is considered as the most accurate tire model. The performance of the proposed controller is evaluated for the constant-radius maneuver test under a dry asphalt road surface for the rear-wheel-driven EV. Through simulation results, it is observed that the NMPC is able to successfully maintain longitudinal velocity, lateral acceleration, while following the desired trajectory.