Trajectory tracking technology is one of the key technologies of unmanned vehicles, and accurate trajectory tracking control is also the primary premise for unmanned vehicles to complete various military tasks. At present, the trajectory tracking research of unmanned vehicle mostly relies on the research results of mobile robot. The traditional trajectory tracking control methods mainly include PID control, neural network control, optimal control, sliding mode control and predictive control. They have their own advantages and limitations. By studying the control behavior of vehicle drivers, using intelligent control method, this paper establishes a nonlinear time-varying dynamic model suitable for unmanned vehicles, breaks through the key technologies such as accurate trajectory tracking control of unmanned vehicles, and provides technical support for the development of new unmanned vehicles in practical environment and the unmanned transformation of active vehicles.
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