Automatic Speed Control System for Commuter Electric Trains

This article considers a model of an automatic speed-control system for a commuter electric train with a variable structure. The train is modeled as a multimass system, the speed-measuring path is modeled by means of averaging, time sampling, and level quantization. It is proposed to filter the level quantization error using a low-pass filter. A control law with a variable structure is applied: proportional or proportional–integral with a mismatch prediction. The optimization of the regulator coefficients is carried out according to the selected generalized criterion. The formation of control signals is used, which allows improving the system dynamics. Results of simulation experiments estimating the regulator efficiency are analyzed.