Intelligent Vehicle Path Tracking Control Method Based on Curvature Optimisation

• Published in: Sensors (Basel, Switzerland) Switzerland), 2023-05, Vol.23 (10), p.4719
• Main Authors: Ye, Qing, Gao, Chaojun, Zhang, Yao, Sun, Zeyu, Wang, Ruochen, Chen, Long
• Format: Article
• Language: English
• Subjects: Accuracy; Analysis; Autonomous vehicles; body stability; Boundary conditions; Control algorithms; Control equipment; Control methods; Control theory; Controllers; Curvature; curvature optimisation; Design; Deviation; fuzzy sliding mode control; Hardware-in-the-loop simulation; intelligent vehicle; Lateral stability; Methods; Motion control; Neural networks; path tracking; Sliding mode control; Traffic safety
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23104719

In this study, an intelligent vehicle (IV) path tracking control method based on curvature optimisation is proposed to reduce the comprehensive performance conflict of the system. This system conflict is caused by the mutual restriction between the path tracking accuracy and the body stability during the movement of the intelligent automobile. First, the working principle of the new IV path tracking control algorithm is briefly introduced. Then, a three-degrees-of-freedom vehicle dynamics model and a preview error model considering vehicle roll are established. In addition, a path tracking control method based on curvature optimisation is designed to solve the deterioration of vehicle stability even when the path tracking accuracy of the IV is improved. Finally, the effectiveness of the IV path tracking control system is validated through simulations and the Hardware in the Loop (HIL) test with various conditions forms. Results clearly show that the optimisation amplitude of the IV lateral deviation is up to 84.10%, and the stability is improved by approximately 2% under the = 10 m/s and = 0.15 m condition; the optimisation amplitude of the lateral deviation is up to 66.80%, and the stability is improved by approximately 4% under the = 10 m/s and = 0.2 m condition; the body stability is improved by 20-30% under the = 15 m/s and = 0.15 m condition, and the boundary conditions of body stability are triggered. The curvature optimisation controller can effectively improve the tracking accuracy of the fuzzy sliding mode controller. The body stability constraint can also ensure the smooth running of the vehicle in the optimisation process.