TITLE:
Trajectory Planning and Optimal Lateral Stability Control under Multiple Barriers for Intelligent Vehicle
AUTHORS:
Zhonghua Zhang, Xuecai Yu, Zhijie Jin, Yejun Ying, Rongwei Hua, Xuwei Lin
KEYWORDS:
Intelligent Vehicle, Motion Planning, Optimal Control, Cellular Automata, Computer Simulation
JOURNAL NAME:
World Journal of Engineering and Technology,
Vol.3 No.3,
July
14,
2015
ABSTRACT: Based on analysis and evaluation on the circular, cosine type, constant-speed offset type and ladder type lane change trajectory, this paper proposes an intelligent vehicle lane change trajectory model under multiple barriers, proposes its dynamic constraints in the light of the cellular automata theory, obtains the desired lane change trajectory using this method, and finally changes into a simple coefficient selection problem. Secondly, based on the quadratic optimal control theory, this paper proposes a state space analysis method of intelligent vehicle lateral control, and designs an optimal controller for lateral stability of H2 vehicles. The computer simulation results show that compared with other vehicle trajectory methods, the method in this paper is able to simply and rapidly describe the trajectory, and can describe the intelligent vehicle lane change trajectory under a variety of situations, wherein the controller is reliable and capable of fast convergence.