An Application of the Adaptive Fuzzy Control in the Longitudinal Control of the Platoon

It is very hard to build the accurate model of the platoon system in the study of the longitudinal control of a platoon, due to uncertainties and time-varying parameters of the platoon system, and the uncertain interference from the circumstance. In this article, the adaptive fuzzy control algorithm is applied into the longitudinal control of the platoon, to avoid the influence of the inaccuracy model. In order to improve the limitation of the traditional fuzzy control, the two-layer architectural fuzzy controller with four input variables is applied, which combines the distance control with the velocity following control to improve the stability of the platoon. In addition, the self-learning corrector is designed to enhance the robust and adaptability of the adaptive fuzzy controller, using the sliding mode control principle. Numerous simulation has been taken to prove that the effectiveness of the two-layer adaptive fuzzy control algorithm.