Paper
1 April 2024 Automatic control method of diesel locomotive braking system based on PLC technology
Li Gao
Author Affiliations +
Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 1308231 (2024) https://doi.org/10.1117/12.3026127
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
Aiming at the problems of high overshoot rate and low reliability of diesel locomotive braking system control during the control stage, an automatic control method for diesel locomotive braking system based on PLC technology is proposed. Combined with the brake cylinder, brake, brake pipeline and control device of diesel locomotive braking system, the factors affecting the braking effect of diesel locomotive are comprehensively analyzed from the practical point of view. Use PLC to receive the specific operation signal information from the diesel locomotive braking system, which mainly consists of the brake cylinder, brake, brake pipeline and control device. The specific control objects are the brake cylinder and brake of the diesel locomotive braking system. In order to ensure the control accuracy, PLC receives the real-time signal parameters from the speed sensor and speed sensor, and uses them as the benchmark for correcting the braking force and braking time. The experimental results show that the overshoot rate of the response signal of the diesel locomotive braking system is stable within 2.24%, indicating that the proposed method has high reliability in the automation control of the diesel locomotive braking system.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Li Gao "Automatic control method of diesel locomotive braking system based on PLC technology", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 1308231 (1 April 2024); https://doi.org/10.1117/12.3026127
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KEYWORDS
Control systems

Photonic integrated circuits

Automatic control

Sensors

Safety

Education and training

Reliability

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