Longitudinal Speed Control Based on Fuzzy Logic Controller for Trams

Automatic speed control is a promising way to improve the quality of urban traffic operation. This paper proposes a fuzzy logic controller to track speed and time trajectories simultaneously for trams. Four modules are designed to improve the effectiveness of the controller. Specifically, the fuzzy inference module is to generate the recommended acceleration. Moreover, the train speed protection module and the train traction characteristic module are presents to ensure that the control laws can satisfy with the operation constraints. To verify the performance of the fuzzy logic controller, the speed and time tracking errors are compared with the PID controller based on the predefined speed profiles. Simulation results show that the proposed controller achieve the trade-off between speed and time tracking within the allowable range. This controller can be implemented by the automatic train operation systems.