Research on trajectory tracking of unmanned vehicle based on intelligent humanoid control

Jingjun Yuan; Mingming Liu; Yanxi Ren; Weiqi Mou; Hu He

doi:10.1117/12.2634467

12 May 2022 Research on trajectory tracking of unmanned vehicle based on intelligent humanoid control

Jingjun Yuan, Mingming Liu, Yanxi Ren, Weiqi Mou, Hu He

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731L (2022) https://doi.org/10.1117/12.2634467
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

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.

Citation Download Citation

Jingjun Yuan, Mingming Liu, Yanxi Ren, Weiqi Mou, and Hu He "Research on trajectory tracking of unmanned vehicle based on intelligent humanoid control", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731L (12 May 2022); https://doi.org/10.1117/12.2634467

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