Advanced safety vehicle (ASV) assists drivers' manipulations to avoid traffic accidents. In this paper, a control system for ASV is designed to avoid obstacles using an automated steering system. The control system is based on a visual feedback and the system model is built in consideration of dynamics of the lane and vehicle using an LFT description. The controller is designed by μ-synthesis such that the control system is robust against uncertainties for vehicle parameters. The performance of the designed control system is examined by numerical experiments for obstacle avoidance.
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