Details
| Original language | English |
|---|---|
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | IEEE Transactions on Vehicular Technology |
| Early online date | 8 Jan 2024 |
| Publication status | E-pub ahead of print - 8 Jan 2024 |
Abstract
Railway running gears with Independently Rotating Wheels (IRW) can significantly improve wear figures, comfort, and safety in railway transportation, but certain measures for wheelset stabilization are required. This is one reason why the application of traditional wheelsets is still common practice in industry. Apart from lateral guidance, the longitudinal control is of crucial importance for railway safety. In the current contribution, an integrated controller for joined lateral and longitudinal control of a high-speed railway running gear with driven IRW is designed. To this end, a novel adhesionbased traction control law is combined with Linear Time-Variant (LTV) and nonlinear Model Predictive Control (MPC) schemes for lateral guidance. The MPC schemes are able to use tabulated track geometry data and preview information about set points to minimize the lateral displacement error. Co-simulation results with a detailed Multi-Body Simulation (MBS) show the effectiveness of the approach compared with state-of-the-art techniques in various scenarios, including curving, varying velocities up to 400 km/h and abruptly changing wheel-rail adhesion conditions.
Keywords
- adhesion control, Adhesives, Gears, independently rotating wheels, integrated control, Model Predictive Control, Predictive control, Rail transportation, Rails, railway vehicle dynamics, Torque, Wheels
ASJC Scopus subject areas
- Engineering(all)
- Automotive Engineering
- Engineering(all)
- Aerospace Engineering
- Computer Science(all)
- Computer Networks and Communications
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: IEEE Transactions on Vehicular Technology, 08.01.2024, p. 1-13.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integrated Model Predictive Control of High-Speed Railway Running Gears with Driven Independently Rotating Wheels
AU - Ewering, Jan Hendrik
AU - Schwarz, Christoph
AU - Ehlers, Simon F.G.
AU - Jacob, Hans Georg
AU - Seel, Thomas
AU - Heckmann, Andreas
PY - 2024/1/8
Y1 - 2024/1/8
N2 - Railway running gears with Independently Rotating Wheels (IRW) can significantly improve wear figures, comfort, and safety in railway transportation, but certain measures for wheelset stabilization are required. This is one reason why the application of traditional wheelsets is still common practice in industry. Apart from lateral guidance, the longitudinal control is of crucial importance for railway safety. In the current contribution, an integrated controller for joined lateral and longitudinal control of a high-speed railway running gear with driven IRW is designed. To this end, a novel adhesionbased traction control law is combined with Linear Time-Variant (LTV) and nonlinear Model Predictive Control (MPC) schemes for lateral guidance. The MPC schemes are able to use tabulated track geometry data and preview information about set points to minimize the lateral displacement error. Co-simulation results with a detailed Multi-Body Simulation (MBS) show the effectiveness of the approach compared with state-of-the-art techniques in various scenarios, including curving, varying velocities up to 400 km/h and abruptly changing wheel-rail adhesion conditions.
AB - Railway running gears with Independently Rotating Wheels (IRW) can significantly improve wear figures, comfort, and safety in railway transportation, but certain measures for wheelset stabilization are required. This is one reason why the application of traditional wheelsets is still common practice in industry. Apart from lateral guidance, the longitudinal control is of crucial importance for railway safety. In the current contribution, an integrated controller for joined lateral and longitudinal control of a high-speed railway running gear with driven IRW is designed. To this end, a novel adhesionbased traction control law is combined with Linear Time-Variant (LTV) and nonlinear Model Predictive Control (MPC) schemes for lateral guidance. The MPC schemes are able to use tabulated track geometry data and preview information about set points to minimize the lateral displacement error. Co-simulation results with a detailed Multi-Body Simulation (MBS) show the effectiveness of the approach compared with state-of-the-art techniques in various scenarios, including curving, varying velocities up to 400 km/h and abruptly changing wheel-rail adhesion conditions.
KW - adhesion control
KW - Adhesives
KW - Gears
KW - independently rotating wheels
KW - integrated control
KW - Model Predictive Control
KW - Predictive control
KW - Rail transportation
KW - Rails
KW - railway vehicle dynamics
KW - Torque
KW - Wheels
UR - http://www.scopus.com/inward/record.url?scp=85182346259&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2309.09769
DO - 10.48550/arXiv.2309.09769
M3 - Article
AN - SCOPUS:85182346259
SP - 1
EP - 13
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
SN - 0018-9545
ER -