Predictive Function Control for Communication-Based Train Control (CBTC) Systems
Robustness
Model Predictive Control
Linear matrix inequality
DOI:
10.5772/53514
Publication Date:
2013-01-31T10:16:44Z
AUTHORS (4)
ABSTRACT
In Communication-Based Train Control (CBTC) systems, random transmission delays and packet drops are inevitable in the wireless networks, which could result unnecessary traction, brakes or even emergency of trains, losses line capacity passenger dissatisfaction. This paper applies predictive function control technology with a mixed H 2 /∞ approach to improve performances. The controller is state feedback form satisfies requirement quadratic input constraints. A linear matrix inequality (LMI) developed solve problem. proposed method attenuates disturbances by incorporating into scheme. command from automatic train operation (ATO) included reward optimize train's running profile. influence alleviated through improving performances controller. Simulation results show that effective robustness CBTC systems.
SUPPLEMENTAL MATERIAL
Coming soon ....
REFERENCES (38)
CITATIONS (8)
EXTERNAL LINKS
PlumX Metrics
RECOMMENDATIONS
FAIR ASSESSMENT
Coming soon ....
JUPYTER LAB
Coming soon ....