To improve the dynamic response ability of unmanned vehicle tracking process and ensure that the vehicle can track the reference route quickly and stably

this paper firstly introduces the time-varying forward-looking distance into the traditional line-of-sight (LOS)guidance strategy based on the idea of fuzzy control

and proposes the improved adaptive LOS guidance strategy

which simplifies the tracking of target trajectory to the heading of the target point track. Secondly

a three degree of freedom dynamic model of vehicle is established

and the linear system mathematical model of path tracking is designed by combining the tracking error variable of adaptive LOS. Finally

multi-step prediction

rolling real-time optimization and feedback correction are used to solve the optimal feedback steering wheel control command

based on the principle of model prediction. To verify the effectiveness of the above-mentioned tracking strategy

the straight-line path and the curve path are used as the reference path in the Simulink simulation environment. The results show that the proposed adaptive LOS guidance strategy can make the tracking vehicle's lateral and heading errors converge to zero rapidly

which verifies that the adaptive LOS guidance algorithm can improve the response speed and stability of unmanned vehicle path tracking.