The GK1C diesel locomotives used in steel production base adopt manual driving. To reduce labor intensity of the drivers, and flexibly adjust the running intervals and the number of on-track locomotives, the corresponding autonomous driving vehicle system of the intelligent transportation system emerges. To satisfy the laboratory verification requirements of the intelligent transportation system, enable its autonomous driving vehicle system to monitor train operation more accurately, and solve the problem that closed-loop verification testing cannot be conducted in laboratories due to the lack of locomotives, a locomotive simulation model is designed to simulate closed-loop control of various locomotive functions such as startup, operation, hibernation and fault injection function, based on the verification & testing requirements, and referring to the technical parameters and actual operating conditions of GK1C diesel locomotives. Laboratory application results show that the verification and testing of GK1C diesel locomotive startup, hibernation, traction, braking, fault injection and other functions can be completed through the simulation model, which can greatly improve the efficiency of indoor testing, shorten debugging time on site, and lay a foundation for the promotion and use of intelligent transportation systems in the steel transportation industry.
Design and Implementation of Simulation Model for GK1C Diesel Locomotive Based on Intelligent Transportation System
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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