Energy-Efficient Model Predictive Train Traction Control With Incorporated Traction System Efficiency

The control system for energy-efficient train operation with the inclusion of a detailed train motion model and train traction system energy efficiency is presented in the paper. A piecewise affine train model is constructed with the parameters obtained for the electromotive train of an industrial manufacturer. The model encompasses intrinsic features of the train system such as linearized resistance force, a set of traction and braking force physical limitations and passengers comfort constraints. The resulting quadratic optimization problem is solved parametrically through dynamic programming giving the off-line precomputed optimal control law that is a function of train speed and traversed path. The on-line computed traction force profile is then tuned with respect to the traction system energy efficiency. The developed control system is evaluated on a detailed real case study scenario put together with a railway operator and the train manufacturer. The presented results show the possibility of significant energy consumption reductions achieved by energy-efficient train control.

Automated summary

The paper presents a control system for energy-efficient train operation that includes a detailed train motion model and train traction system energy efficiency. By constructing a piecewise affine train model and solving a quadratic optimization problem through dynamic programming, the system can achieve significant energy consumption reductions. The developed control system is evaluated on a real case study scenario and shows promising results in energy-efficient train control.