Nonlinear Model Predictive Control for Automatic Train Operation with Actuator Saturation and Speed Limit
2014 ◽
Vol 678
◽
pp. 377-381
Keyword(s):
This paper addresses a position and speed tracking problem for high-speed train automatic operation with actuator saturation and speed limit. A nonlinear model predictive control (NMPC) approach, which allows the explicit consideration of state and input constraints when formulating the problem and is shown to guarantee the stability of the closed-loop system by choosing a proper terminal cost and terminal constraints set, is proposed. In NMPC, a cost function penalizing both the train position and speed tracking error and the changes of tracking/braking forces will be minimized on-line. The effectiveness of the proposed approach is verified by numerical simulations.
2013 ◽
Vol 21
(5)
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pp. 1956-1962
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2017 ◽
Vol 56
(6)
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pp. 853-882
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2020 ◽
Vol 103
◽
pp. 104576
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2014 ◽
Vol 137
(1)
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2020 ◽
Vol 69
(8)
◽
pp. 8278-8289
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2017 ◽
Vol 2017
(0)
◽
pp. 1P1-J07
2010 ◽
Vol 36
(1)
◽
pp. 159-162
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