Development of an optimal operation approach in the MPC framework for heavy-haul trains

Show simple item record Zhang, Lijun Zhuan, Xiangtao T. 2015-07-14T05:35:13Z 2015-07-14T05:35:13Z 2015-06
dc.description.abstract An operation control approach for heavy haul trains to optimize their performance, including operation safety, service quality and energy consumption, is proposed. Following a model predictive control method, the controller is capable of scheduling a train to operate optimally during a long section of the rail track. In the cost function, two penalty factors are presented, one for the braking forces and one for coupler damping effects. The penalty for braking forces is employed to reduce energy waste incurred by braking. The penalty for coupler damping is introduced to alleviate the cyclic vibration of couplers, which link adjacent cars in the train. The damping penalty is also expected to reduce energy wasted by coupler damping and corresponding maintenance/replacement cost of the dampers. In addition, the weight of the velocity tracking term in the objective function is modified to vary dynamically according to the train’s velocity to improve the train’s overall performance. Simulations verify the effectiveness of the proposed control approach. Discussions over the impacts of the two penalty factors and dynamic weight method are provided together with some suggestions on their applications. en_ZA
dc.description.librarian hb2015 en_ZA
dc.description.uri en_ZA
dc.identifier.citation Zhang, L & Zhuan, X 2015, 'Development of an optimal operation approach in the MPC framework for heavy-haul trains', IEEE Transactions on Intelligent Transportation Systems, vol. 16, no. 3, art. #6949134, pp. 1391-1400. en_ZA
dc.identifier.issn 1524-9050 (print)
dc.identifier.issn 1558-0016 (online)
dc.identifier.other 10.1109/TITS.2014.2364178
dc.language.iso en en_ZA
dc.publisher Institute of Electrical and Electronics Engineers en_ZA
dc.rights © 2015 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. en_ZA
dc.subject Operation control en_ZA
dc.subject Heavy haul trains en_ZA
dc.subject Model predicative control en_ZA
dc.subject Penalty factors en_ZA
dc.subject Dynamic weighting en_ZA
dc.title Development of an optimal operation approach in the MPC framework for heavy-haul trains en_ZA
dc.type Postprint Article en_ZA

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