Name
Title | ||
|---|---|---|
Railway Collaborative Ecodrive via Dissension Based Switching Nonlinear Model Predictive Control |
Abstract | ||
|---|---|---|
This paper deals with the design of a switched Nonlinear Model Predictive Controller (NMPC) for collaborative ecodrive control of railway vehicles. Relying on a discrete, switched and nonlinear model of the train, the NMPC optimizes the handle position while fulfilling constraints on velocity and journey time. Specifically, the optimizer provides a set of operating modes, which the human driver is able to implement to modulate traction or braking forces and such that the corresponding driving style is constrained by predefined driving sequences. At network level, a Dissension based Adaptive Law (DAL) is then proposed to adjust the parameters of the NMPC cost so as to efficiently share the available regenerated braking energy among the trains connected to the same substation, while negotiating between constraint satisfaction and control aggressiveness. The effectiveness of the proposed strategy is finally demonstrated on a realistic simulation case study. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.ejcon.2019.04.005 | European Journal of Control |
Keywords | Field | DocType |
Train control,Predictive control,Nonlinear control systems,Switching algorithms | Constraint satisfaction,Network level,Control theory,Control theory,Traction (orthopedics),Model predictive control,Control engineering,Train,Nonlinear model,Mathematics | Journal |
Volume | ISSN | Citations |
50 | 0947-3580 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hafsa Farooqi | 1 | 0 | 0.34 |
| Gian Paolo Incremona | 2 | 70 | 9.40 |
| Patrizio Colaneri | 3 | 950 | 90.11 |