Abstract
As unmanned ground vehicle is a nonlinear time-varying system, it is difficult to describe the accurate mathematical model. To solve this problem, a control algorithm of vehicle trajectory tracking based Human-Simulated Intelligent Control (HSIC) is proposed, and feature model set, control mode set and reasoning mode set are designed. Finally, this method and traditional preview follower PID algorithm are compared with each other in experimental way. The results show that such method has small dependence on the model with better control effect and overall stability.
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