Abstract
The problem of the position and velocity tracking control of high-speed trains becomes interesting yet challenging when simultaneously considering inevitable factors such as the resistive friction and aerodynamic drag forces, the interactive impacts among the vehicles, and the nonlinear traction/braking notches inherent in train systems. In this paper, a multiple point mass with a single-coordinate dynamic model that reflects resistive and transient impacts is derived, and based on this, computationally inexpensive robust adaptive control designs with optimal task distribution for speed and position tracking are proposed under traction/braking nonlinearities and saturation limitations. It is shown that the proposed method is not only robust to external disturbances, aerodynamic resistance, mechanical resistance, and transient impacts but adaptive to unknown system parameters as well. The effectiveness of the proposed approach is also confirmed through numerical simulations. © 2011 IEEE.
| Original language | English |
|---|---|
| Article number | 5871322 |
| Pages (from-to) | 1116-1125 |
| Number of pages | 10 |
| Journal | IEEE Transactions on Intelligent Transportation Systems |
| Volume | 12 |
| Issue number | 4 |
| Early online date | 9 Jun 2011 |
| DOIs | |
| Publication status | Published - Dec 2011 |
| Externally published | Yes |
Bibliographical note
The Associate Editor for this paper was L. Vlacic.Funding
This work was supported in part by the National Natural Science Foundation of China under Grant 60974052, the Program for Changjiang Scholars and Innovative Research Team in University under Grant IRT0949, and the Beijing Jiaotong University Research Program under Grant RCS2008ZT002, Grant 2009JBZ001, and Grant 2009RC008.
Keywords
- Input saturation
- optimal distribution
- robust adaptive control
- transient impacts