Sliding mode consistency tracking control of multiple heavy haul trains under input saturation and safety distance constraints

In order to ensure that under the influence of input saturation, a safe distance between adjacent locomotives and adjacent trains in multiple heavy haul trains (HHTS) is main-tained, an anti-saturation sliding mode consistency (ASMC) control algorithm is proposed. First, a multitrain and multipartic...

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Vydáno v:Journal of the Franklin Institute Ročník 360; číslo 12; s. 9028 - 9049
Hlavní autoři: He, Jing, Yang, Xingxing, Zhang, Changfan, Xiao, Mingjie
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Inc 01.08.2023
Témata:
Consistency algorithm
Dynamic auxiliary compensation system
Heavy haul train
Input saturation
Sliding mode control
Input saturation
Dynamic auxiliary compensation system
Heavy haul train
Sliding mode control
Consistency algorithm
ISSN:0016-0032, 1879-2693
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Shrnutí:In order to ensure that under the influence of input saturation, a safe distance between adjacent locomotives and adjacent trains in multiple heavy haul trains (HHTS) is main-tained, an anti-saturation sliding mode consistency (ASMC) control algorithm is proposed. First, a multitrain and multiparticle dynamic model (MMDM) based on multitrain single particle that considers nonlinear coupling force and external disturbance effect is established. Next, a dynamic auxiliary compensation (DAC) system combined with sliding mode surface that can rapidly reduce the saturation deviation is designed and consistency algorithm of the simplified control structure is introduced to construct the ASMC control algorithm. Then, theoretical derivation proved that the algorithm can ensure the convergence of the tracking distance between adjacent locomotives and between adjacent trains to a bounded safe range whilst overcoming the influence of input saturation on each train. Lastly, the simulink and RT-LAB simulation results are used to verify the effectiveness of the design algorithm.
ISSN:0016-0032
1879-2693
DOI:10.1016/j.jfranklin.2022.07.003